Freelance python jobs for world-class Developers

Overview

I need a Windows application that allows one computer (Master) to control one or more Windows computers (Clients) in real time.

The goal is synchronized input. Every mouse movement, mouse click and keyboard press performed on the Master computer should be reproduced on all connected Client computers with extremely low latency.

The software should work over a local network (LAN), with an architecture that can later be extended for internet use.

Required Features

Master Application

* Capture all mouse movement.
* Capture left, right and middle mouse clicks.
* Capture mouse wheel scrolling.
* Capture keyboard presses and releases.
* Broadcast all events in real time to connected clients.
* Show connected devices.
* Allow enabling/disabling individual clients.
* Low CPU usage.
* Low latency.

⸻

Client Application

* Receive input events from the Master.
* Reproduce:
* Mouse movement
* Mouse clicks
* Mouse wheel
* Keyboard input
* Maintain synchronization with minimal delay.
* Automatically reconnect if the connection is lost.

⸻

Synchronization

Target latency:

* under 10 ms on LAN
* no noticeable desynchronization

All clients should execute the received input simultaneously.

⸻

Networking

Preferred:

* TCP for reliability where appropriate
* UDP for real-time input if beneficial

Support:

* Static IP
* Automatic device discovery (optional)

⸻

Screen Resolution

Support:

* Different monitor resolutions
* Different DPI scaling

The software should correctly translate mouse coordinates if resolutions differ.

⸻

User Interface

Simple interface containing:

Master

* Start server
* Connected clients
* Client status
* Disconnect client

Client

* Connect to server
* Connection status
* Auto reconnect

⸻

Performance

Requirements

* Stable for long sessions
* Minimal memory usage
* Minimal CPU usage
* Multi-threaded implementation

⸻

Future Expansion

The architecture should be modular so future versions can include:

* File transfer
* Clipboard synchronization
* Multiple monitor support
* Encrypted communication
* Internet connectivity
* Logging
* Remote configuration

⸻

Preferred Technology

Examples (developer may suggest alternatives):

Backend

* C++
* C#
* Rust

Networking

* WinSock
* .NET Sockets
* Boost.Asio

UI

* WinUI
* WPF
* Qt

⸻

Deliverables

* Complete source code
* Documentation
* Build instructions
* Windows executable
* Installation guide

⸻

Experience Required

I’m looking for developers with experience in:

* Windows desktop application development
* Low-level Windows input handling (keyboard and mouse events)
* Network programming (TCP/UDP sockets)
* Real-time systems and low-latency communication
* Multithreading and performance optimization
* C++, C#, Rust or similar languag
Additional Networking and Device Compatibility Requirements

The synchronization software must continue operating when each Windows computer uses its own VPN connection.

Required behaviour

* Every computer may use a different VPN provider, VPN server, and public IP address.
* The software must not depend on the device’s public IP address, MAC address, Windows hardware ID, disk serial number, motherboard serial number, or other hardware fingerprint for authentication.
* Each installation must generate its own application-level device ID and cryptographic key pair.
* Devices must authenticate using certificates or secure tokens generated by the synchronization software.
* Changing networks, reconnecting a VPN, changing a local IP address, or switching between Wi-Fi and Ethernet must not break the device pairing.
* The client must automatically reconnect after a VPN reconnect or network interruption.
* The program should support both:
1. Direct LAN communication when devices are on the same local network.
2. Secure communication through an overlay network or relay server when VPN routing prevents direct LAN access.

Recommended networking options

The developer may implement one of the following:

* Tailscale or WireGuard-based private network
* ZeroTier private network
* A custom encrypted relay server
* Secure WebSocket or QUIC connection
* Mutual TLS authentication

Important routing requirement

Some commercial VPN applications block access to other devices on the local network. The software must detect this condition and either:

* use the private overlay network;
* use a secure relay server;
* or show a clear warning that local-network access must be enabled in the VPN application.

The developer must not rely on MAC addresses or hardware fingerprints to locate or authenticate devices.

Security

* End-to-end encrypted communication
* Unique application-generated identity for every installation
* Ability to revoke a paired device
* No default open ports accessible from the public internet
* Signed application builds
* Secure storage of authentication keys
* Optional IP allowlist and pairing confirmation code

Testing requirements

The finished application must be tested under these conditions:

* Both computers on the same LAN without VPN
* Master using VPN and client without VPN
* Both computers using different VPN servers
* VPN disconnecting and reconnecting during operation
* Local IP address changing
* Wi-Fi switching to Ethernet
* Direct connection unavailable and relay fallback activated

The developer must document which VPN settings are required, including whether “Allow LAN access” or split tunnelling must be enabled.

Already have app published need update on few features and add video shorts without errors remove slow loading and add admin features etc it's flutter python app also firebase which you know app is already ready need improvement slow working right now if you are interested right now I offered 35 maybe less compared to the heavy work if you are interested and does job well I will be needing you for monthly update as well
Features
Home page edit for admin reels groups articles etc
Scroll news feed
Chat and group smooth like telegram video and short video without error with recommend features on videos
Profile page error removal and smooth ui

I need emails generated and sent to me. Time sensitive

I built evaii — a free browser tool that reads an Upwork job and estimates how many hours it would take, how much of it AI can realistically do, your effective hourly rate, and whether it's worth bidding. It's live and in use — 25 active users, 11 of 11
five-star reviews so far.

Now I'm making it sharper for each field of work, and I need **Data Science & Analytics** freelancers to
tell me whether its read of your kind of work holds up. Good jobs to test it on: a dashboard build, a data-cleaning job, an ML model etc.

**What I'm asking (~40 minutes):**

Run 9 real "Data Science & Analytics" jobs through the tool — chosen on purpose to cover the full range:

- 3 jobs you'd **definitely take**
- 3 jobs you'd **definitely not take**
- 3 jobs you're **genuinely unsure** about

For each job, give your own call — would you take it (take / maybe / skip), your own hour estimate, and what you'd bid — then the tool logs your answer next to its own, so I can see where they agree and where they don't. When your call differs from the tool's, you'll be asked for a quick one-line reason — that's the most useful part.

**One thing that matters a lot:** when the tool asks for your minimum hourly rate, enter the rate you *actually need* — not a temporary low rate you might take to build your profile. The whole comparison depends on that number being real.

**How to start after you get hired**

1. Install the extension (link below) — no account needed.
2. Open any "Data Science & Analytics" job on Upwork and click the **"Should you bid?"** button.
3. Click **"Calibration"** at the bottom of the panel, and paste the code I'll send you after hiring, plus your real minimum hourly rate.
4. Work through your 9 jobs, giving your own verdict, hours and bid on each.

**Pay:** $15, fixed. **Time:** around 40 minutes.
**Extension:** https://chromewebstore.google.com/detail/lplmgnmhmoddhihgbgpjeikgdmdnoinf

Whatever you find — where it's sharp and if it's off — is exactly what I want to hear.

An honest "it got this wrong" is worth more to me than a polite "looks good."

I am looking for a senior AI Full-Stack Developer & Architect with proven, direct experience building SaaS app, that extract structured requirements from large, complex documents.

The immediate goal is to develop a focused pilot application that processes government documents, typically 100–300 pages, and generates a structured compliance matrix with at least 97% requirements completeness.
The system should:
• accept one PDF words documents format;
• extract all valid requirements;
• group requirements by type;
• avoid irrelevant content, duplicates, incomplete requirement fragments;
• generate a clear, structured compliance matrix.

Please do not apply unless you have direct, hands-on experience extracting structured requirements from large, complex government documents.

helo

We already have a detailed engineering specification. We need an experienced embedded hardware/RF engineer to review the information, finalize the component choices, and organize everything into one clear engineering document that can be handed to a PCB designer.

**Selected architecture:**

* NXP i.MX RT700 processor
* LoRa communication
* UWB positioning
* Low-power battery operation

**Phase 1 deliverables:**

* Final system block diagram
* Recommended exact NXP, LoRa and UWB components
* Suitable alternatives for critical components
* Interface and pin-allocation table
* Power-management recommendations
* LoRa and UWB antenna recommendations
* RF coexistence and PCB-placement guidelines
* Preliminary BOM with manufacturer part numbers
* Missing information, technical risks and required tests
* Clear documentation for beginning schematic and PCB development

**Budget:** Fixed price of $200 - $400 for Phase 1.

This phase does **not** include firmware, algorithms, PCB layout or Gerber files. Engineers capable of completing the full schematic and manufacturing-ready PCB package may provide a separate Phase 2 quotation.

Detailed product information will only be shared with a shortlisted engineer after an NDA is signed.

**Required experience:**

* NXP i.MX RT or similar processors
* LoRa and UWB hardware
* Low-power embedded systems
* RF and antenna-aware PCB design
* Altium Designer or KiCad
* Manufacturing documentation and DFM

**To apply:**

1. Begin your proposal with **BANANA 🍌**.
2. Provide two genuine examples of similar embedded or RF projects.
3. Explain which LoRa and UWB components you would initially consider.
4. Confirm exactly what you will deliver for the $300 phase.
5. Provide your timeline.
6. State whether you can later prepare the complete schematic, PCB layout and manufacturing files.

Generic proposals that do not answer these questions will not be considered.


Boltcore.

AI & Automation Engineer (Contract, Project-Based)
We're an AI implementation consultancy that deploys custom AI agents and automation systems for B2B service businesses. We're looking for a contractor to build alongside us on live client projects.
What you'll do

Build and ship AI agents, automations, and multi-step workflows for real clients
Integrate third-party APIs (CRMs, accounting platforms, messaging, job management tools)
Write and maintain Python services, deploy them, and keep them running reliably
Work from scoped briefs and deliver production-ready systems, not prototypes

What we're looking for

Fluent in AI-native development tools such as Claude Code and Cursor, using them as a primary way of building rather than an occasional assist
Strong Python (FastAPI or similar); other relevant languages welcome
Comfortable with LLM APIs, prompt design, tool use, and agent orchestration frameworks
Experience with databases (Postgres/Supabase) and deployment platforms (Railway, Vercel, VPS)
API integration experience: REST, OAuth, webhooks, rate limits, pagination
Able to work independently, ask sharp questions early, and communicate clearly in writing

Nice to have

Agent frameworks (LangGraph or equivalent)
Scraping and browser automation
Voice, vision, or document-processing pipelines
Experience shipping client-facing work in an agency or consultancy setting

Engagement
This is a contractor role. Work is allocated project by project as client engagements come in, with compensation tied to each scoped project. Consistent quality and turnaround leads to a steady flow of work.
To apply
Send a short note covering:

An AI agent or automation you built end to end, what it did, and what stack you used
How you actually use Claude Code or Cursor in your workflow
Links to code, repos, or demos
Your rate expectations and typical availability per week

Please skip generic proposals. We read the specific ones.

• Describe your recent experience with similar projects
• Please list any certifications related to this project
• Include a link to your GitHub profile and/or website
• What frameworks have you worked with?

Resolved AI lead filtering issues where leads were not being classified correctly.
Debugged and fixed AWS-related issues affecting automation workflows and backend services.
Improved API integrations, workflow reliability, and overall system performance.
Monitored logs, identified root causes, and implemented fixes to ensure stable AI automation.

I’m looking for someone that has built automated trading bots for intraday trading ones that’s profitable. The ideal candidate will have experience in developing bots that can execute trades automatically based on predefined strategies. Familiarity with MetaTrader 4 and MQL 4 is essential. The goal is to create a bot that can consistently generate profits in the intraday market.

I am looking for a skilled Mechanical Engineer to assist with the design, automation, and simulation of a structural metamaterial wall intended for a soft robotics manipulator. The core geometry has already been conceptualized (reference images of the single wall and the full radial assembly will be provided).

To provide a clear understanding of the scope, the current 10x scaled dimensions for the 3D printable model are as follows:

Overall Outer Radius: 65.0 mm (Inner radial offset: 10.0 mm)

Metamaterial Height: 60.0 mm

Top/Bottom Rigid Plates: 3.0 mm thickness each

Wall Extrusion Depth: 10.0 mm

Strut Thickness: 2.0 mm

Configuration: 6 radial walls, each consisting of a 3x3 unit cell array.

The project requires recreating the model in CAD, writing a script for automated dimensional adjustments, performing structural simulations, and producing final manufacturing drafts.

Project Milestones (Total Fixed Budget: $100):

Milestone 1: 3D CAD Modeling & 3D Print Preparation ($25)

Draft the 3D model of the metamaterial wall and the complete assembly using SolidWorks based on the provided dimensions.

Ensure the geometry avoids zero-thickness errors and is fully optimized for 3D printing.

Deliverables: Standard STEP files and high-resolution STL files ready for slicing.

Milestone 2: Parametric Scripting & Automation ($25)

Develop a script (using Python, CadQuery, or SolidWorks API/macros) to automate the generation of the wall geometry.

The script must allow for rapid iteration by changing key parameters (e.g., unit cell dimensions, wall thickness, depth, and number of rows/columns) to instantly output updated CAD files.

Deliverables: Clean, well-commented source code/script and instructions for execution.

Milestone 3: Finite Element Analysis (FEA) ($25)

Perform structural analysis on a single metamaterial wall using Abaqus, COMSOL Multiphysics, or ANSYS.

Evaluate stress distribution, bending behavior, and deformation under applied loads.

Deliverables: Simulation source files, a brief report outlining the methodology, and contour plots of the results.

Milestone 4: Manufacturing Drawings ($25)

Create detailed 2D technical drawings for the parts and the final assembly.

Include all necessary dimensions, tolerances, and assembly notes.

Deliverables: PDF drawing sheets and native drawing files.

Required Skills:

Expertise in SolidWorks.

Strong programming skills for CAD automation (Python).

Experience setting up and solving structural problems in Abaqus, COMSOL, or ANSYS.

Solid understanding of Design for Additive Manufacturing (DfAM).

Please include a brief overview of your experience with parametric modeling and FEA in your proposal.

I'm looking for a developer to build a web application that works exactly like Claude.ai (Anthropic's chat interface), but fully white-labeled under my own branding.

How it should work:
- User asks a question in my platform's interface
- The platform sends the query to Claude via the Anthropic API
- Claude's response is displayed back to the user inside my platform
- No visible reference to "Claude" or "Anthropic" anywhere in the UI - fully white-labeled

Core functionality (matching Claude.ai's experience):
- Clean chat interface for asking questions and getting answers
- Persistent chat history per user
- User accounts / login system
- File upload support (so users can upload documents/images and ask questions about them, same as Claude.ai)
- Responsive web design

Tech expectations:
- Integration with the Anthropic API (I will provide the API key)
- Secure handling of API keys and user data
- Clean, modern, branded front-end (branding assets/guidelines will be provided)

What I need from you:
- A brief proposal on your intended tech stack
- Relevant experience with LLM API integrations (Anthropic, OpenAI, or similar) or chat-based SaaS products
- Rough timeline and cost estimate for the project

Budget: Please quote based on scope described above.

We are building a Central Data Hub on ArcGIS Online for a climate change and disaster resilience programme, and are looking for an expert who can act as both technical advisor and implementer — first reviewing our preparation and telling us what's really needed, then delivering the platform.

The work: ArcGIS Online org foundation and master domains · ArcGIS Hub site (~8 thematic categories) · migration of six survey instruments from KoboToolbox (XLSForm) to Survey123 · secure/public hosted-view architecture for sensitive data · a packaged, re-runnable ETL toolkit (ArcGIS API for Python) our staff will operate · dashboards, documentation and remote training. This is an unusually well-prepared project — dataset inventory, target schemas, data dictionary and governance design already exist, and a single coordinator handles all liaison with data owners. The attached PDF has the full role description, deliverables and skill requirements — please read it before applying.

Key terms:

You will never access sensitive or personal data. Development is against empty forms, synthetic data and de-identified samples; our staff run the real loads with your tools. Apply only if comfortable with this model.

Fixed-price milestones with written acceptance criteria. Bid your price per milestone — total capped at US$7,150 (trial fixed at $400, support retainer fixed at $250/month × 3). Quality and work samples outrank price.

We start with a paid US$400 trial task (one XLSForm adapted and published to staging, one scripted append of synthetic rows, QA report), possibly run with two candidates — both paid.
Shortlisted candidates get a video call, sign a simple NDA, then receive full project context.
~100–140 hours over 2–3 months, part-time. Good overlap with UTC+12 working hours preferred.

To apply: see the Full Job Description attached.

We are an established agency looking for an experienced Mobile Application and Web Developer to join our team as a long-term, project-based partner.
This is not a one-time development job. We are looking for a reliable professional who can represent our agency during the bidding, client communication, technical consultation, and project delivery process.

The selected developer will be added to our Upwork agency as an official agency member. Their professional experience, technical skills, portfolio, and agency profile may be presented when submitting proposals for suitable development projects.

Role and Responsibilities
The developer will be expected to:
Work with our agency on mobile application and web development projects.
Participate in relevant project bidding opportunities through our agency.
Help us review job requirements and determine the appropriate technical solution.
Provide realistic project estimates, timelines, milestones, and technical recommendations.
Attend client interviews, discovery calls, and technical meetings when required.
Represent our agency professionally during communication with potential and existing clients.
Develop, test, deploy, maintain, and improve mobile and web applications.
Provide regular progress updates and communicate any risks or delays in advance.
Cooperate with our project managers, designers, developers, and other team members.
Maintain confidentiality regarding our clients, proposals, pricing, projects, and internal processes.
Remain available for agreed meetings and project responsibilities.
Important Information About the Agency Relationship
The selected developer will become an authorized member of our Upwork agency. We may include the developer’s agency profile, portfolio, experience, and technical qualifications in proposals for projects that match their expertise.

The developer may also be asked to:
Support the preparation of technical proposals.
Answer technical questions before a contract is awarded.
Join client interviews as our technical representative.
Recommend the best technologies and development approach.
Confirm availability and estimated delivery schedules.
Take responsibility for delivering projects awarded based on their expertise.
All bidding, communication, and project activity must follow Upwork’s policies. We will not request account passwords, profile credentials, or unauthorized access to any personal Upwork account.

Required Technical Experience
We are interested in developers with strong experience in one or more of the following areas:

Mobile Application Development
Flutter
React Native
Native Android development using Kotlin or Java
Native iOS development using Swift
Cross-platform mobile application development
REST API and third-party service integrations
Firebase and push notifications
Payment gateway integration
App Store and Google Play publishing
Mobile application maintenance and performance optimization
Web Development
React.js, Next.js, Vue.js, or Angular
Node.js, PHP, Laravel, Python, Django, or similar backend technologies
WordPress, Shopify, or other content management systems
Responsive front-end development
RESTful APIs and third-party integrations
Database development using MySQL, PostgreSQL, MongoDB, or similar technologies
Cloud deployment and server management
Payment gateway and subscription integration
Website security, optimization, maintenance, and troubleshooting

You do not need to specialize in every technology listed above. However, you must have proven experience and be able to clearly explain your strongest technical areas.

Professional Requirements

The ideal candidate must:
Have proven professional experience in mobile or web development.
Have a strong and verifiable portfolio of completed projects.
Be comfortable communicating directly with international clients.
Have good written and spoken English.
Be confident during technical interviews and client meetings.
Be honest about capabilities, availability, timelines, and limitations.
Be responsive and available during agreed working hours.
Deliver clean, secure, scalable, and maintainable code.
Follow deadlines and agreed project requirements.
Be willing to work under our agency’s project management process.
Be interested in a stable, long-term professional partnership.

Payment terms, project scope, deadlines, and responsibilities will be agreed upon before the developer begins each project.
Developers who consistently deliver high-quality work, communicate professionally, and support the agency during the bidding process will receive priority consideration for future projects.

# Project: GLM Modelling and Cluster Analysis of Fishing Distance Data in RStudio

## Project objective

I have a dataset containing information on individual fishers, their fishing distance, vessel characteristics, fishing practices, technology use, economic characteristics, and regulatory awareness.

I need someone to conduct statistical modelling and cluster analysis in RStudio, provide all R scripts, and clearly document the complete analytical process.

## Description of the data

“Mean_distance” is the response variable. It is calculated as the geodesic distance for each individual fisher.

“ID” represents each unique fisher ID.

The following variables are the explanatory variables collected in the dataset:

* ID
* Fishing.experience
* vessel.length
* AIS
* VMS
* navigation.apps
* target.sharks
* Top.species.group
* subsidy
* Income.per.trip
* cost.per.trip
* communication.with.fishers
* reg.awareness
* Bycatch
* gear.type
* Site

## Tasks to be completed

### 1. Data preparation and explanatory variable assessment

Review the complete dataset and determine which explanatory variables should be included or excluded from the analysis.

For every explanatory variable, provide a clear rationale explaining:

* Why the variable should be included or excluded.
* Whether the variable is continuous, categorical, binary, or ordinal.
* Whether any recoding or transformation is required.
* Whether the variable contains missing values, unusual values, or data-entry problems.
* Whether the variable has sufficient variation to be included in the analysis.

Conduct collinearity tests using GVIF or anything supportive to assess relationships among the explanatory variables.

Clearly report:

* The GVIF results.
* The criteria used to identify problematic collinearity.
* Which variables were retained or removed.
* The statistical and conceptual rationale for each decision.

Do not exclude variables only through an automatic statistical procedure. Decisions should also consider the ecological and conceptual relevance of the variables.

### 2. Selection of the most appropriate GLM

Identify which type of GLM is best fitted to understand the relationship between “Mean_distance” and the explanatory variables.

The analysis should:

* Examine the distribution of “Mean_distance”.
* Consider that “Mean_distance” contains positive geodesic distance values.
* Compare appropriate GLM distributions and link functions where necessary.
* Explain why the final GLM distribution and link function were selected.
* Check whether continuous explanatory variables meet the assumption of a linear relationship on the model scale.
* Assess model assumptions and model fit using suitable diagnostic tests and diagnostic plots.
* Clearly report any problems related to dispersion, residual patterns, influential observations, or model misspecification.
* Revise the model where necessary based on the diagnostic results.

Provide a clear written rationale for the selected GLM.

### 3. Candidate model selection and model averaging

Develop a scientifically justified set of candidate models using the retained explanatory variables.

Complete the following analyses:

* Model selection using an AICc difference of less than 2.
* Identification of the top models.
* Adjusted model average effect for the explanatory variables.
* Relative variable importance of each variable.
* Model-averaged coefficients.
* Adjusted standard errors.
* Confidence intervals.
* Direction and magnitude of each effect.

Clearly explain:

* How the candidate models were constructed.
* Which model was treated as the global model.
* The criteria used for selecting the top models.
* Whether full averaging or conditional averaging was used.
* How adjusted model average effect was calculated.
* How relative variable importance was calculated.
* How categorical variables and their reference categories were handled.

Provide a final table containing, where applicable:

* Variable name.
* Model-averaged estimate.
* Adjusted standard error.
* Confidence interval.
* Relative variable importance.
* Direction of the relationship.
* Statistical interpretation.

### 4. Graphs explaining the model results

Create publication-quality graphs that best explain the relationship between “Mean_distance” and the explanatory variables.

The graphs should be based on the final model or adjusted model average effect wherever appropriate, rather than only showing raw descriptive relationships.

The figures should include:

* Predicted “Mean_distance” across important continuous explanatory variables.
* Predicted “Mean_distance” for important categorical explanatory variables.
* Confidence intervals around model predictions.
* Clear labels, legends, units, and reference categories.
* Separate graphs or interaction graphs where relationships differ across “Site” or other relevant variables.
* Diagnostic plots needed to demonstrate the adequacy of the selected model.

All graphs should be suitable for use in an academic paper.

Provide each graph in:

* High-resolution image format.
* Editable format where possible.
* The R script used to generate it.

### 5. Cluster analysis

Conduct a cluster analysis to determine which variables collectively form clusters among the fishers.

“Mean_distance” must be included as an active variable in the cluster analysis.

The cluster analysis should:

* Identify the appropriate cluster analysis method for a dataset containing continuous and categorical variables.
* Explain why the selected method is suitable.
* Prepare and format the variables appropriately.
* Standardise continuous variables where required.
* Include “Mean_distance” as an active variable.
* Determine the appropriate number of clusters.
* Explain the statistical criteria used to select the number of clusters.
* Identify which variables contribute most strongly to the formation of the clusters.
* Describe the characteristics of each cluster.
* Report the number of fishers in each cluster.
* Examine how “Mean_distance” differs among the clusters.
* Create suitable cluster visualisations and variable contribution plots.
* Produce a cluster profile table summarising the main characteristics of each cluster.

The interpretation should explain what each cluster represents in practical terms and which combination of variables distinguishes one cluster from another.

### 6. Methods and results writing

Write complete Methods and Results sections explaining exactly what was done.

These should be written separately for:

#### A. Modelling

Provide:

* A Methods section describing data preparation, explanatory variable assessment, GVIF, GLM selection, diagnostics, candidate model selection, adjusted model average effect, relative variable importance, and graph generation.
* A Results section reporting the model diagnostics, top models, important explanatory variables, model-averaged effects, relative variable importance, and predicted relationships.

#### B. Cluster analysis

Provide:

* A Methods section describing data preparation, selection of the cluster analysis method, treatment of continuous and categorical variables, inclusion of “Mean_distance” as an active variable, selection of the number of clusters, and cluster interpretation.
* A Results section describing the final clusters, important contributing variables, cluster sizes, fishing-distance patterns, and the characteristics of each cluster.

The writing should:

* Be suitable for an academic journal article.
* Clearly distinguish descriptive results from adjusted model results.
* Avoid claiming causation when the analysis only demonstrates statistical relationships.
* Use consistent terminology throughout.
* Include the relevant statistical values.
* Correspond exactly with the final R analysis and outputs.

## Required deliverables

The final submission must include:

1. The cleaned dataset used for the final analysis.
2. A table explaining the inclusion or exclusion of every explanatory variable.
3. GVIF or other relevant collinearity results.
4. The final global model.
5. Complete GLM diagnostic results and plots.
6. The candidate model selection table.
7. The top model table based on an AICc difference of less than 2.
8. Adjusted model average effect results.
9. Relative variable importance results.
10. A final model-averaged coefficient table.
11. Publication-quality graphs of the main relationships.
12. Complete cluster analysis results.
13. Cluster visualisation plots.
14. Variable contribution plots.
15. A cluster profile table.
16. Separate Methods and Results sections for modelling.
17. Separate Methods and Results sections for cluster analysis.
18. All R scripts required to reproduce the analysis.
19. A README file explaining the order in which the R scripts should be run.
20. A short explanation of the main analytical decisions and any limitations of the data.

## RStudio and reproducibility requirements

The complete analysis must be conducted in RStudio.

Please provide:

* All R scripts.
* Clearly named and organised script files.
* Comments explaining every important step in the scripts.
* A list of all R packages used.
* The R and package versions used for the analysis.
* A reproducible folder structure for data, scripts, tables, figures, and results.
* A fixed random seed for any analysis involving random procedures.
* Scripts that can run from beginning to end without requiring manual modification.
* Export commands for all tables, graphs, model outputs, and cluster results.

The results presented in the written Methods and Results sections must exactly match the results produced by the final R scripts.

Project Overview:
We are looking for an experienced AI/ML developer to build an intelligent CRM Agent using Azure AI Foundry and GPT-4o. The agent will automate lead management, customer follow-ups, and sales analytics.
What We Need:



AI agent that reads CRM data (leads, contacts, deals)
Auto-scores leads based on behavior and demographics
Sends personalized follow-up emails/messages automatically
Generates weekly sales performance reports
Detects at-risk customers and alerts sales team
Integrates with existing CRM (Salesforce/HubSpot/Dynamics)



Tech Stack Required:



Azure AI Foundry / Azure OpenAI GPT-4o
Python (FastAPI or Flask)
REST API integration
Microsoft Teams notifications
Jira ticket creation for follow-up tasks



Deliverables:



Working AI agent codebase
API documentation
Deployment guide
Demo video



Skills Required:



Azure AI Foundry
Python
OpenAI/GPT-4o
CRM integrations
REST APIs

I need Expert Developer work on react+django-reast-framework deployment with AWS lightsail plesk hosting server. Please Apply only if you can solve it. Only expert freelancer.
Thank you

Job Post: Coaster Furniture → Shopify Product Sync (SKU‑Match Model)
Project Overview
I need a developer to build a Coaster Furniture → Shopify product sync using the Coaster API and Shopify Admin API. This is a SKU‑match sync, meaning:

Update Shopify products where SKUs match Coaster

Create new Shopify products where SKUs exist in Coaster but not in Shopify

Do not delete or modify unrelated Shopify products

This is the first supplier integration for my retail operation, and the system must be built in a way that allows adding additional suppliers later.

Scope of Work
1. Coaster API Integration
Authenticate using my Coaster API key

Pull full product catalog including:

SKU

Title

Description

Images

Pricing

Inventory

Dimensions

Weight

Categories

UPC / identifiers

2. Shopify API Integration
Authenticate using Shopify Admin API (private app)

Pull all existing Shopify products and variants

Build a SKU index for fast matching

3. Sync Logic
If SKU exists in both Coaster and Shopify:

Update product title, description, images, pricing, inventory, weight, dimensions, and category

If SKU exists in Coaster but not Shopify:

Create a new Shopify product with variant, images, inventory item, inventory level, and collections

4. Scheduling
Set up automated sync every 30–60 minutes

Must run reliably without manual intervention

5. Logging & Error Handling
Log all sync actions (created, updated, skipped)

Log errors with clear messages

Provide a dry‑run mode that logs actions without writing to Shopify

6. Code Quality Requirements
Clean, modular code

Easy to extend for future suppliers

Clear documentation for setup and deployment

Deliverables
Complete source code

Setup instructions

Deployment instructions (cron job, serverless, or VPS)

Logging system

Dry‑run mode

One round of revisions after testing

Tech Stack (Choose One)
I am open to either:

Node.js (preferred for Shopify‑native developers)

Python (preferred for clean, maintainable data processing)

You may choose whichever you are strongest in.

Ideal Developer
Experience with Shopify Admin API

Experience with supplier → Shopify syncs

Strong understanding of SKUs, variants, inventory items, and collections

Ability to write clean, modular code

Ability to deliver quickly (1–3 days for first version)

Timeline
First working version: 1–3 days

Final version after testing: 3–5 days

Budget
$600–$900 for mid‑level developers

Up to $1,500 for senior developers with production‑grade architecture

To Apply
Please include:

A short description of your experience with Shopify Admin API

Whether you prefer Node.js or Python

Examples of similar integrations you’ve built

Estimated timeline and cost

Confirmation that you can include a dry‑run mode and logging

Next Step
If you want, I can also generate:

A developer evaluation checklist

A technical specification document

Interview questions to vet developers

Just tell me which one you want next.

We are building RUNNR, a premium running and sports performance lab launching in Mexico City.

RUNNR combines data from multiple athlete assessments—including VO₂ testing, gait analysis, force and power testing, and body composition—to create one unified performance profile with clear, personalized recommendations.

The long-term product is a performance intelligence platform that will:

Collect and normalize data from multiple assessment systems
Apply deterministic scoring and classification logic
Identify an athlete’s strengths, imbalances, and primary performance limiter
Generate personalized explanations and recommendations
Produce a polished, branded athlete report
Support historical comparisons and retesting over time

AI will assist with interpretation and communication, but it will not determine the underlying sports science or scoring logic. The methodology and calculations must remain structured, transparent, and reproducible.

Initial Engagement

This posting is for a paid technical discovery and architecture sprint, not the complete software build.

The purpose of this first phase is to define the right architecture, reduce technical risk, and determine whether we are a strong fit for the larger MVP build.

Expected Deliverables

The selected engineer will provide:

A recommended MVP system architecture
A clear data-flow diagram from assessment input to final report
A proposed database structure for athletes, sessions, metrics, scores, recommendations, and reports
A recommendation for the appropriate technology stack
A plan for implementing deterministic scoring and rules
A recommendation for the AI interpretation layer, including safeguards against unsupported or invented conclusions
A recommended workflow for generating branded PDF reports
An approach for importing data manually at launch and integrating device APIs or exports later
A staff review and approval workflow before reports are released
Identification of major technical risks, dependencies, and security considerations
A phased MVP development roadmap with estimated effort and cost

The architecture should support a lean initial launch without unnecessarily overbuilding the product. It should also provide a clear path toward future features such as athlete accounts, retesting history, progress tracking, additional assessment devices, and a client portal.

What We Are Looking For

We are looking for a senior product-minded engineer who can think critically about the product—not simply implement a list of instructions.

Relevant experience may include:

Full-stack product development
Backend and database architecture
AI integrations using OpenAI, Anthropic, or similar platforms
Structured rules engines or scoring systems
API and third-party data integrations
Automated document or PDF generation
Internal operations tools
SaaS or health, fitness, sports, or analytics products
Workflow automation using n8n or similar tools

Experience with Airtable, Supabase, PostgreSQL, or low-code tools may be useful, but we are not committed to a specific stack. We want the architecture to determine the tools—not the other way around.

Important Working Requirements

All work must be built within accounts owned and controlled by RUNNR.

This includes:

Source-code repositories
Databases
Automation platforms
AI provider accounts
Hosting and deployment accounts
API credentials
Documentation

RUNNR will own all work product, source code, workflows, schemas, and technical documentation created during the engagement.

The final system must not depend on undocumented logic or proprietary components that only one developer can maintain.

Potential Long-Term Engagement

If the architecture sprint is successful, the next phase will be the development of the RUNNR MVP.

The right person may become a long-term technical partner as the platform expands. However, this first engagement is intentionally limited in scope so both sides can evaluate communication, judgment, technical ability, and working style before committing to a larger build.

How to Apply

Please provide:

A brief description of the most relevant product or system you have architected or built.
Your specific role in that project.
A link, case study, screenshot, repository, or other evidence of the work when available.
The initial architecture or technology approach you would consider for RUNNR, along with your reasoning.
The most important questions you would ask before designing the system.
Your proposed fixed price and timeline for the discovery and architecture sprint.
Your availability to continue into the MVP build if the initial engagement is successful.

Please begin your response with the words “RUNNR Architecture” so we know you reviewed the full description.

Generic applications, chatbot portfolios, and responses that only list technologies without explaining product decisions will not be prioritized.

We are especially interested in someone who is comfortable challenging assumptions, identifying what we may be overlooking, and recommending a simpler or stronger approach when appropriate.

We are looking for an experienced AI Automation Engineer to build intelligent business automation systems using modern AI technologies. The ideal candidate should have experience creating AI agents, workflow automations, API integrations, and CRM solutions.

Responsibilities
Build AI-powered automation workflows using n8n
Develop backend services using Python and FastAPI

Integrate APIs such as:

OpenAI
Anthropic Claude
Gemini
Airtable
Cal.com
Gmail
Google Sheets
Slack
WhatsApp Cloud API

Build AI agents for lead qualification and customer support
Develop Retrieval-Augmented Generation (RAG) systems
Create CRM and workflow automations
Debug and optimize existing automations
Write clean, maintainable, and well-documented code

Required Skills

Python
FastAPI
n8n
REST APIs & Webhooks
OpenAI API
LangChain or LangGraph (preferred)
Vector databases (FAISS, Pinecone, ChromaDB)
PostgreSQL
Git & GitHub
Docker
n8n or other automation tools

To Apply

Please include:

Relevant AI automation projects
GitHub profile
Portfolio or demo videos
Experience with Python, n8n, and AI agents
Availability and expected hourly rate

AI Automation Engineer (Claude / Anthropic) — Build an Internal Enterprise System for a Fast-Growing Health Company

Job description
About us

We're Next Health — the leading longevity and health-optimization company in the U.S., with wellness centers expanding across major markets. We move fast and we're building an internal AI system that lets a lean team operate like a much larger one.

What we're doing

We're standardizing on Anthropic's Claude as the backbone of our internal operations. We want to build a set of AI-powered systems and automations that take real, repetitive work off our team's plate — starting with finance/accounting and marketing, then expanding to reporting and internal operations.

Think: automated financial reporting and reconciliations, expense and margin analysis, forecasting support, marketing content and campaign workflows, and dashboards that pull data from the tools we already use into clean summaries. We want a system, not a one-off script — something reliable, documented, and easy for non-engineers on our team to actually use day to day.

Who we're looking for

An engineer who has genuinely built production AI systems with Claude (or comparable LLMs) — not someone who has only experimented with chatbots. You should be able to design the architecture, build it, connect it to our existing tools, and hand it over in a way our team can operate without you in the room. Deep, hands-on experience delivering real systems for real businesses is what matters most; where you got that experience matters far less.

What you'll likely work on

Designing the overall architecture for an internal Claude-based system
Building automations for finance/accounting first (reporting, reconciliations, expense/margin analysis, forecasting support)
Building marketing automations next (content generation, campaign analysis, email/social workflows)
Connecting Claude to the tools we already use (accounting software, spreadsheets, marketing platforms, cloud storage) via APIs and integrations
Creating clean dashboards/reporting that roll data up into summaries leadership can act on
Adding the guardrails that make an AI system safe for finance data: access controls, review steps, accuracy checks, and clear audit trails
Documenting everything and training our team to run and extend it

Must-have skills

Proven, hands-on experience building AI/LLM systems in production — ideally with Anthropic's Claude API, otherwise OpenAI/comparable with clear transferable work
Strong software engineering fundamentals (Python and/or Node.js typical), API integration, and automation/workflow design
Prompt engineering and agent/tool-use design that's reliable enough for real business data
Comfort connecting to third-party tools (accounting, marketing, data) via their APIs
Ability to build for non-technical users and to document and train, not just ship code
Clear written English and steady, proactive communication

Nice to have

Direct experience automating finance/accounting or marketing workflows
Familiarity with tools like QuickBooks/NetSuite/Xero, HubSpot/marketing platforms, Google Workspace, and data/BI tools
Experience with data privacy and handling sensitive financial information
Experience with retrieval/RAG, vector databases, or building internal "assistants" over company data

Engagement

We're open to how we structure this — propose what you think fits best. We're happy to start with a small, paid trial project so we can both see how we work together, then expand into a larger ongoing build if it's a fit. Tell us how you'd approach it and what a first milestone would look like.

To apply — please do these three things (applications that skip them won't be reviewed):

In your first line, write the phrase "Claude systems builder" so we know you read this.
Briefly describe one AI/LLM system you personally built and shipped — what it did, what you built it with, and the concrete result the business got from it. Links or a short demo are a big plus.
Tell us, in a few sentences, how you'd approach automating our monthly financial reporting as a first project — what you'd need from us, and roughly how you'd build it.

We read every application that follows these steps. Looking forward to meeting our version of the person who helps us punch way above our weight.

We build production AI voice receptionists for dental and healthcare clinics across the UK and Ireland.

We currently have a growing waiting list of dental practices that require AI receptionist deployments integrated with Dentally. We are looking for an experienced AI voice engineer who can take responsibility for building, testing and deploying these systems.

This is not a basic chatbot, proof-of-concept or prompt-writing role. The work involves production inbound voice agents, telephony, appointment-management integrations, workflow automation, testing, monitoring, troubleshooting and technical documentation.

We intend to begin with one paid dental deployment. If the first project is completed successfully, there is potential for regular ongoing work across additional clinics.

Current technology stack

Our current infrastructure includes:

ElevenLabs Voice Agents
Retell AI
n8n
Twilio
REST APIs and webhooks
Dentally
Other dental and healthcare practice-management systems
Email, SMS and structured clinic notifications

The engineer does not need prior experience with every platform listed above. However, strong production experience with voice AI, telephony, APIs and workflow automation is essential.

Initial assignment

The first assignment will involve deploying an AI receptionist for one single-site dental practice using either Dentally or Aerona.

The clinic will provide an approved configuration document covering its opening hours, appointment types, clinicians, booking rules, emergency procedures, pricing information, caller-handling requirements and escalation procedures.

The AI receptionist will be expected to:

Answer inbound telephone calls naturally and professionally.
Clearly identify itself as an AI receptionist where required.
Understand the caller’s reason for contacting the practice.
Determine whether the caller is a new or existing patient.
Verify existing patients using the clinic’s approved verification process.
Search for suitable appointment availability.
Book appointments into Dentally or Aerona where supported.
Reschedule or cancel appointments where supported by the relevant API and clinic rules.
Apply appointment-type, clinician, duration and availability rules correctly.
Handle emergency and urgent-call scenarios according to approved clinic instructions.
Collect callback requests when booking cannot be completed.
Accurately capture names, mobile numbers, email addresses and relevant enquiry details.
Read important details back to the caller for confirmation.
Send structured call summaries and notifications to the clinic.
Handle API failures, unavailable appointment slots and uncertain situations safely.
Transfer or escalate calls where the clinic’s agreed workflow requires it.
Maintain appropriate logs for testing, troubleshooting and quality assurance.
Expected deliverables

The selected engineer will be responsible for:

Reviewing the clinic configuration and existing architecture
Confirming the proposed technical approach before development begins
Configuring or building the inbound voice agent
Creating or adapting the required n8n workflows
Connecting the agent to Dentally or Aerona
Configuring telephony and inbound call routing
Implementing structured data capture
Implementing booking, cancellation, rescheduling and callback workflows where supported
Adding API error handling and safe fallback behaviour
Creating clinic notifications and call summaries
Completing structured testing against an agreed acceptance checklist
Resolving identified defects before deployment
Supporting the initial production launch
Documenting the completed deployment
Providing a full technical handover

The work must be completed inside company-owned accounts, repositories and infrastructure wherever technically possible.

Repeatable deployment architecture

A major objective is to develop a repeatable system for future dental deployments.

The engineer will be expected to identify:

Which parts of the architecture can be standardised
Which workflows can be converted into reusable templates
Which elements need to remain clinic-specific
How credentials and environment variables should be managed
How new clinics can be deployed without duplicating unnecessary work
How changes should be version-controlled
How failures and performance should be monitored
The estimated engineering time required for future Dentally and Aerona deployments

We are not looking for someone who builds every clinic from scratch. We want an engineer who can help create a controlled, scalable deployment process.

Required experience

Applicants should have strong practical experience in several of the following areas:

Production AI voice agents
ElevenLabs Agents, Retell AI, Vapi or comparable voice platforms
Twilio or comparable telephony infrastructure
n8n, Make or comparable workflow-automation platforms
REST APIs
Webhooks
JSON
Python, Node.js or comparable backend development
Authentication and secure credential management
Production logging and monitoring
Error handling and fallback workflows
External booking, CRM, PMS or EHR integrations
Testing and debugging live conversational systems

Experience with Dentally or Aerona is highly desirable.

Experience with healthcare, dental practices, appointment booking, sensitive information or regulated environments would also be valuable.

Working requirements

The engineer must:

Communicate clearly in written and spoken English
Provide reasonable overlap with UK working hours
Give regular and concise progress updates
Raise technical limitations early rather than hiding them
Obtain approval before materially changing the agreed scope
Obtain approval before exceeding agreed hours
Maintain clear technical documentation
Provide complete handover of code, prompts, workflows and configuration
Use company-owned accounts and repositories
Avoid undocumented dependencies
Avoid creating infrastructure that only the original developer can maintain
Protect confidential business and clinic information
Avoid using real patient data during initial development unless specifically authorised
Not subcontract the work without prior written approval
Initial engagement structure

The initial engagement is expected to require approximately 20 to 25 hours, although the engineer should provide a more accurate estimate after reviewing the architecture and project requirements.

The project will be authorised in stages.

The first checkpoint will take place after approximately five hours. By that stage, we expect:

A clear understanding of the existing architecture
Confirmation of the required PMS integration endpoints
A written implementation plan
Identification of required credentials and access
Identification of technical risks and limitations
A basic working call path or integration proof
A realistic estimate for completing the deployment

Further hours will only be authorised after reviewing the initial progress.

Any work outside the agreed scope must be estimated and approved before it begins.

Ongoing opportunity

If the initial deployment is successful, further work may include:

Additional Dentally deployments
Additional Aerona deployments
Other dental PMS integrations
Multi-site dental groups
Voice-agent testing and optimisation
Production troubleshooting
Monitoring and maintenance
Telephony configuration
Workflow improvements
New appointment and payment workflows
Technical documentation
Improving deployment speed and reliability

We currently have multiple clinics awaiting deployment, so there is genuine potential for an ongoing working relationship.

When responding

Please include:

A description of one production inbound voice agent you personally built.
The voice platform, telephony provider, backend and automation tools used.
Your direct experience with ElevenLabs Agents, Retell AI, Vapi, n8n and Twilio.
Your experience integrating voice agents with booking systems, CRMs, PMS platforms, EHR systems or other external APIs.
Whether you have worked directly with Dentally or Aerona.
Your availability during the next four weeks.
Your usual working hours and overlap with UK time.
Confirmation that you can work entirely within company-owned accounts and repositories.
Confirmation that you will provide full documentation and handover.
Confirmation that you will not subcontract the work without approval.

• Describe one production inbound voice agent you personally built. What voice platform, telephony provider, backend and automation tools did you use?
• What direct production experience do you have with ElevenLabs Voice Agents, Retell AI, Vapi, n8n and Twilio? Please separate production experience from tools you have only tested.
• Have you integrated a voice agent with Dentally, Aerona, another booking system, CRM, PMS or EHR? Please explain the integration and your exact responsibilities.
• Can you complete all work inside company-owned accounts and repositories, with full documentation and handover?
• How many hours can you provide over the next four weeks, and what overlap can you offer with UK working hours?

I have a CSV file containing a list of 267 universities. The file has two columns:

Column A: University Name
Column B: University Website URL

I need someone to scrape each university's website and extract faculty/professor information wherever available.

For each faculty member, please collect the following information:

Full Name
Email Address
Department
Subjects/Courses Taught (if available)
Research Interests / Specialization
Designation (Professor, Associate Professor, Assistant Professor, Lecturer, etc.)
Office Phone (if available)
Office Location (if available)
Faculty Profile URL
Any other publicly available academic information

Output Requirements:

Create a separate Excel (.xlsx) file for each university.
Name each Excel file exactly the same as the university name from Column A.
Include one worksheet containing all faculty members for that university.
Use consistent column names across all Excel files.
Leave cells blank if a particular piece of information is not available.
Ensure duplicate faculty records are removed and the extracted data is as accurate and complete as possible.

Also share source code

DATA INFRASTRUCTURE ENGINEER: PROJECT APPLICATION CASE STUDY

Contract project | Remote, global hours OK with EST overlap | Milestone-based pay (you propose the structure)

THE TASK

Read this whole document, then record a 3-8 minute Loom explaining how you would solve our problem: the architecture you'd build, what you'd keep vs replace, your migration plan, and your price, broken into milestones.
Your Loom is the application.

IMPORTANT NOTE

We will predominantly use your Loom and case-study answer to grade your application.
We expect a lot of applicants and need to separate engineers who have actually done this from people who talk about tools (or let AI talk for them).
We also know some companies use "sample tasks" to farm free consulting. Stay at whiteboard level: no schemas, no code, no documents. If we want to use your specific ideas beyond hiring you, we will ask permission and pay you for your time!

OUR BUSINESS

RoofIgnite is a performance marketing agency for US roofing, HVAC, and home-services companies. We generate appointments for our clients through Meta ads and automated follow-up, and we spend about $100,000/month on our own client acquisition ads on top of that.
We scaled from $100k/month to $300k/month in revenue in the last 12 months, and we're building toward $1M/month. Every system described below was built in-house while scaling that fast, and each one works. The problem is what happens when you put them all together.

HOW OUR DATA WORKS TODAY

Read this like a map. You'll get a live walkthrough of everything, with our founder Oscar, before starting anything.

1. THE CRM (GOHIGHLEVEL)

Lead and client contact records live in GoHighLevel. Webhooks and automations fire at each pipeline stage and feed almost everything downstream.

2. THE SALES TRACKER (GOOGLE SHEET)

Every lead we've ever generated, from first touch through dials, qualification, and close. GoHighLevel webhooks hit a Google Apps Script that writes each event to the lead's row, matched by contact ID. Ad attribution data comes in from two attribution platforms via API (we're offboarding one of them). There's a log tab recording every webhook received, for error tracing. Errors are rare these days. Separate tabs exist per niche; we'd rather have one table with a niche tag. A few sheet-native dashboards exist that nobody monitors anymore.

3. CREATIVE INTELLIGENCE (PYTHON + CRON ON A VPS)

A nightly pipeline that connects the Meta Ads API, attribution, and the sales tracker: per-ad lead counts and qualified status, winner/loser creative rankings (with manual exclusions, because raw numbers sometimes lie), a Drive archive of every ad creative with visual descriptions and audio transcripts, and a library of sales-call transcripts. All of it feeds an AI copywriting workflow: pick winning ads and strong calls as training context, generate new briefs and scripts. This is the engine behind that $100k/month in ad spend. It works; its data could be cleaner.

4. THE CLOSE-TO-ONBOARDING HANDOFF (CUSTOM AUTOMATIONS)

When a closer closes a deal, an internal tool generates a Stripe payment link tagged with the CRM contact ID. On payment, our internal dashboard receives webhooks and automations create the client's row in our client tracking sheet, a row in our account operations sheet, and a ClickUp onboarding task. Custom-built, not Zapier. Mostly smooth, occasional edge cases.

5. THE CLIENT TRACKING SHEET (GOOGLE SHEET, ~85 COLUMNS)

Every client record after the close: statuses, team assignments, cycle and billing-relevant fields. Created automatically during onboarding, updated by the team, and read by several dashboards. Some of its columns are not native: they sync IN from Airtable (below).

6. THE ACCOUNT OPERATIONS SHEET (GOOGLE SHEET, MULTIPLE POD TABS)

Per-account campaign and billing-cycle data (cycle dates, budgets, results), maintained by our account pods, one tab per pod.

7. AIRTABLE BASE #1 (OPERATIONS)

One table mirrors the client tracking sheet through a TWO-WAY sync (sheet wins conflicts; rows matched by a permanent numeric Client ID; if you delete a sheet row it respawns, real deletes go through an admin tool). A second table mirrors the account operations pod tabs. Airtable exists for exactly one reason: linked records and rollups across tables (cycles billed, fees collected), which Google Sheets can't do. Those computed columns then sync BACK to the sheet. Yes, you read that right.

8. AIRTABLE BASE #2 (FINANCE)

Expense projections plus employee records synced from the BambooHR API (hire/termination dates, division, role, pay group, pay amounts, active status). Payroll runs through QuickBooks for Canadian employees and Wise for US and Philippines contractors. The person who runs payroll currently visits about five different places to do it.

9. FOUR DASHBOARDS ON TOP

A leadership dashboard for client status review and admin operations (reads from Airtable, writes to both Airtable and the sheets).
A finance dashboard: real-time revenue vs projections, client books and team loading, churn and LTV analysis. Built because QuickBooks alone gave no clarity.
A team command center: client success and media buyers see their accounts, per-client detail (ad account data, contract, running copy), and a billing tracker that pings our billing VA on Slack and bills through an internal Stripe tool.
A marketing dashboard: month-over-month ad and sales performance (our own attribution, replacing a paid platform), ad editing pushed through the Meta API, the AI copywriting workflow, and commission tracking.
Each dashboard is hand-wired to specific sheets, tabs, and column positions. Every new feature means another wire.

THE ACTUAL PROBLEM

Our record-keeping layer is Google Sheets and Airtable playing database, stitched together by two-way syncs with conflict rules.
Exactly one person (the founder) can explain how all of it connects. He recorded a video walkthrough for a team member because nobody else could hold the map in their head.
Answering "how many active clients do we have and what state is each one in?" means opening several tools and trusting none of them completely.
Data hygiene fights us: duplicate records, IDs pasted into wrong columns, statuses that disagree between systems.
Everything publishes straight to production. No staging, no branches. One bad change can touch everything.
We want to launch a client-facing portal, and we won't do it on top of this.

THE GOAL

One central, queryable database holding our record-keeping data: leads, clients, cycles, billing, finance/employees. The sheets either retire or become disposable views of it.
The operational tools keep working through the migration. They run the business; downtime is not an option.
Real engineering hygiene around it: staging vs production, version control, backups, access control.
Documented handoff. Our internal team uses AI coding tools daily and will maintain and extend what you build, and build clean dashboards on top. You do it right ONCE and hand it off. This is not a permanent staff-augmentation seat, and we both benefit from that.
On the stack: we've been advised toward SQL (Postgres), and a peer agency at $1M/month runs their version of this on Supabase. But we are not engineers and we are not prescribing the solution. Telling us what you'd build and WHY, in terms we can follow, is most of the interview.

YOUR LOOM (3-8 MINUTES)

The architecture you'd build, named concretely (database, sync approach, hosting), and why it fits a business like ours.
What you'd keep from the current setup and what you'd kill. Not everything here is broken; knowing the difference is the skill.
Your migration order, and how you keep a 40-person team operating mid-migration.
Your phase plan: milestones, what ships at each one, and the price per milestone (or your hourly rate and estimated hours per phase). We pay as milestones ship; we will not fund one large lump sum up front.
One real project where you consolidated multi-system data into a single source of truth: what the mess looked like, what you built, and whether it's still running today.

HOW TO SUBMIT (IN YOUR UPWORK PROPOSAL)

Inform on 1-2 other businesses you've helped with similar cases.
Your Loom link.
Your proposed milestone and payment structure, and when you can start.
We review on a rolling basis and we intend to move in days. If your plan is right and your price is fair, the first milestone (a paid architecture/discovery phase) starts almost immediately.

PAYMENT

Milestone-based, pay-as-we-go through Upwork. The budget listed on this post is a placeholder; you propose the numbers, and we fund milestone by milestone as work ships. We're looking for an expert who does this right one time and hands it off clean, and we'll pay properly for exactly that.

Full-Stack Engineer — FinTech Web App (React / Plaid / AWS)

WHAT I'M BUILDING
I'm a solo founder developing a personal finance web application for a well-defined user segment. A complete, functional React prototype already exists — built with real data across multiple modules — so you won't be starting from a blank page. I need an experienced full-stack engineer to take it from prototype to production-quality.

SCOPE OF WORK
1. Front-end: Elevate the existing React UI to a polished, professional standard — clean visual design, responsive layout, and smooth user experience. The information architecture is done; this is about execution quality.
2. Plaid integration: Implement Plaid Link for secure bank and brokerage account aggregation, including token handling, account/transaction data retrieval, and error states.
3. Back-end and deployment: Stand up the application on AWS — appropriate architecture for a data-sensitive financial app, secure API layer, and deployment pipeline.

WHAT I EXPECT
- Clear, milestone-based deliverables with agreed timelines
- Weekly check-ins (video or written status updates — your preference)
- Clean, documented, maintainable code that another engineer could pick up later
- Security-first mindset — this app handles financial data, so credentials, tokens, and PII must be handled to industry standard
- Honest communication: if something is harder than expected or a better approach exists, tell me early

WHAT YOU CAN EXPECT FROM ME
I'm a retired corporate executive with deep experience managing complex projects and technical teams — I know how to define scope, make decisions quickly, and not move goalposts mid-stream. I'm highly responsive, I respect your time, and I've prepared detailed specs so you'll always know what "done" looks like. I use AI tools heavily in my own workflow and am comfortable reviewing technical work.

This is a well-scoped initial engagement with clear deliverables. If the work goes well, there is strong potential for follow-on phases as the product develops.

TO APPLY
Please share: (1) an example of a React app you've polished or built with high UI standards, (2) any prior Plaid or financial-data integration experience, and (3) your typical availability per week.

l am looking for someone with deep understanding of Ai.This is to help me work on Ai projects.This is for a long term working relationship.Let me know if interested.

Developed a complete AI-powered healthcare mobile application for both iOS and Android using React Native Expo with a Python Django backend.

The project included end-to-end UI/UX design, mobile app development, backend APIs, database architecture, subscription management, AI-powered chat functionality, and complete App Store deployment.

Key Features

• Modern UI/UX design
• User registration & authentication
• Period and health tracking
• AI Chat Assistant
• Premium subscription plans
• Secure payment integration
• Push notifications
• Personal health dashboard
• Articles & educational content management
• User profile management
• Payment history & invoice download
• Admin dashboard
• User management
• Subscription management
• Content & article management
• Settings management
• TestFlight deployment
• Google Play deployment
• Apple App Store deployment
• Complete source code handover with GitHub

Technology Stack

Frontend: React Native Expo

Backend: Python Django

Database: PostgreSQL / MySQL

API: REST / JSON APIs

The application was built with scalability, security, and long-term maintainability in mind, providing a premium user experience across both Android and iOS devices while enabling seamless administration through a dedicated backend panel.

We are seeking a skilled freelancer to integrate GHL with Instantly for automated workflows. The ideal candidate will have experience in API integration and automation, ensuring seamless communication between systems. Responsibilities include setting up API connections, testing data flows, and troubleshooting any issues that arise. The project requires attention to detail and the ability to work independently.

AI Solutions Architect / Senior Full Stack Engineer Needed

Build an AI-Powered Business Intelligence & Operations Platform

We are looking for an experienced AI-focused software engineer or small development team to build a custom business intelligence and operations platform.

Our goal is not to build everything from scratch.

We are looking for someone who understands how to leverage AI, automation frameworks, existing software, browser automation, APIs, and open-source technologies to build a powerful application efficiently and cost effectively.

The ideal candidate knows when to build custom solutions and when to leverage existing tools.

A detailed technical specification has already been prepared and will be shared with qualified applicants after an NDA is signed.

⸻

The Project

We are building a cross-platform desktop application (Windows and Mac) that will become our company’s primary management and reporting platform.

The application will:

* Connect to Mindbody Business
* Retrieve and organize operational data (API access is not available, so browser automation or another reliable approach will be required)
* Store historical business data
* Display executive dashboards and KPIs
* Generate AI-powered summaries and recommendations
* Automate reporting and workflows
* Provide a modern, intuitive user interface
* Be designed for future expansion with additional modules and integrations

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Our Development Philosophy

We are looking for someone who can architect the best solution—not simply write code.

We encourage applicants to leverage AI-assisted development, existing software, open-source libraries, automation tools, and commercial services whenever they reduce development time, cost, and long-term maintenance.

We value smart architecture over unnecessary custom development.

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Preferred Experience

Experience with the following is preferred:

* React
* TypeScript
* Python
* FastAPI
* Playwright (preferred) or Selenium
* Windows and macOS desktop application development
* Database design
* AI integrations (OpenAI, Anthropic, Gemini, etc.)
* REST APIs
* Git

Experience with Mindbody Business or similar business management platforms is a plus.

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Deliverables

The completed project should include:

* Production-ready Windows and macOS applications
* Complete source code
* Secure connection to Mindbody Business
* Automated data synchronization
* Executive dashboards
* Local database
* AI-generated reporting
* Installation packages for both Windows and Mac
* Documentation
* Testing and bug fixes

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Proposal Requirements

To be considered, please include:

1. Examples of similar software you have built.
2. Experience integrating with Mindbody Business or similar platforms.
3. Your recommended technology stack and architecture.
4. How you would approach connecting to Mindbody Business without API access.
5. Which AI tools or services you would use to accelerate development.
6. Your estimated timeline.
7. Your fixed-price or milestone-based quote.
8. Your availability to begin.

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Selection Criteria

We are looking for the best overall solution—not simply the lowest price.

Applicants will be evaluated based on:

* Technical approach
* Software architecture
* AI and automation expertise
* Relevant project experience
* Timeline
* Cost
* Long-term maintainability.

We are looking for an experienced AI Agent Engineer to build an internal AI Quality Assurance and Performance Management system for a fast-growing subscription-based digital business.

The AI will integrate with our existing customer messaging platform and automatically review conversations, score each team member against our internal SOPs, identify strengths and weaknesses, assess grammar, communication quality, sales effectiveness, rapport, compliance, and flag high-priority issues requiring manager review.

The system should generate individual performance reports, recommend targeted training based on performance gaps, create performance improvement plans where required, and provide a management dashboard to track team performance and improvement over time.

This is not a simple chatbot project. We are looking for someone with experience building production AI systems using technologies such as OpenAI, Python, APIs, and modern AI agent frameworks. Experience with conversation analysis, LLM workflows, AI automations, and scalable software architecture is highly preferred.

This is the first project in a larger AI roadmap. The successful candidate will have the opportunity to become our long-term AI engineering partner as we build AI systems across multiple areas of the business.

Please answer the following too:

1. Describe the most advanced AI agent or LLM-powered system you’ve personally built. What was the business problem, what technologies did you use, and what measurable outcome did it achieve? Please include links, screenshots, or a demo if available.

2. Based on the project description, how would you architect this system? Please provide a high-level overview of your proposed approach, the technologies you would use, and any challenges or recommendations you foresee.

3. We’re looking for a long-term AI engineering partner, not just a one-off freelancer. If this first project is successful, we’ll be building AI systems across multiple departments. Why do you think you’re the right person for that role, and what excites you most about building AI products at scale?

Thank you for your time!

need a senior ML lead who has done the real thing:

• Fine-tuning LLMs (LoRA, QLoRA, PEFT, full fine-tuning)
• Reads training curves, designs ablations, and can explain why a result holds up
• NOT prompt engineering or agent-building on top of frontier models — that’s a valuable but different skill
• Model evaluation, benchmarking, and ablation studies
• Preference optimization (DPO/RLHF)
• Synthetic data generation and data curation
• Agentic AI workflows and reasoning models
• Distributed training and GPU optimization
• Working with models such as Llama, Qwen, DeepSeek, Mistral, Gemma, and similar open models
• Building repeatable experimentation pipelines and evaluation loops

Bonus experience includes:

* Knowledge distillation
* RAG architectures
* Multimodal models
* Quantization and model optimization
* vLLM, TensorRT-LLM, Ray, DeepSpeed, FSDP
* Kubernetes and large-scale inference
* Education domain experience would be a big differentiator.

Structure: fractional / advisory to start, with the option to grow into the role as the work scales.

AI Developer Needed – Multi-Agent Real Estate Acquisition Platform

We are looking for an experienced AI developer to build a multi-agent AI platform that automates commercial real estate acquisition across the United States.

The platform should include AI agents that can:

* Find hard-corner, freeway exit, and high-potential commercial properties using GIS, satellite imagery, parcel, and traffic data.
* Analyze properties based on visibility, traffic counts, zoning, accessibility, and development potential.
* Identify property owners and gather contact information (phone, email, mailing address, business entities).
* Automatically send personalized email outreach and follow-up campaigns.
* Integrate an AI voice agent to call property owners, qualify leads, and schedule appointments.
* Store and rank properties in a searchable database with interactive maps and dashboards.

Preferred Skills

* AI Agents (LangGraph, CrewAI, AutoGen, OpenAI Agents, etc.)
* Python
* GIS / Geospatial Development (PostGIS, ArcGIS, Google Maps, Mapbox)
* Computer Vision & Satellite Imagery
* API Integrations
* Web Scraping & Data Enrichment
* Machine Learning / Predictive Analytics
* CRM, Email, and AI Voice integrations (Twilio, Bland AI, Vapi, Retell AI, etc.)
* AWS, Azure, or Google Cloud

Please include:

* Similar AI or real estate projects you've built
* Your recommended tech stack and architecture
* Estimated timeline and budget
* Whether you've built multi-agent AI systems before

Bonus: Experience with commercial real estate, property data, GIS, or land acquisition platforms.