Freelance python jobs for world-class Developers

I am looking for someone to develop an admin for a database. The database is on skills.
The database is already there.
The current addition, editing, manipulation etc. of the skills in the database is being done directly to the PostgreSQL tables using Python scripts.
However, this has serious limitations.
I want an admin to be created through which I can do these activities.
I am including docs on
1. table fields
2. a sample of data from the table
3. the features required in the admin

I would like someone who can develop this well.
We use FastAPI, React and such

I would like to know from those interested:
1. Sample of similar projects done
2. The overall time it would take to complete the project
3. The fixed cost for doing this project (factoring in that there will be iterations based on the development)

Looking for an experienced developer to optimize CAPTCHA processing speed within a compliant automation workflow, with a strong focus on reducing latency and improving reliability.

Requirements:
• Experience with reCAPTCHA / hCaptcha integrations and APIs
• Performance optimization and low-latency processing
• Strong knowledge of Python or Node.js
• Experience with API integrations and automation workflows
• Understanding of async processing, queues, and scalable architectures

Project goals:
• Reduce response time
• Improve processing efficiency
• Increase stability and success rate
• Build a fast and reliable workflow aligned with platform usage policies

Preferred experience:
• Automation systems
• High-performance backend workflows
• Queue systems / concurrent processing
• API-based integrations

Please include:
• Relevant past projects or experience
• Typical response times achieved
• Recommended tech stack or architecture

. I need a backend developer to build a small WordPress → MCP bridge so Perplexity (via a remote MCP connector) can:
• search our existing WordPress content
• create draft pages
• update drafts
• publish pages on command (with safeguards)

The bridge will run as a Docker service on a Hostinger VPS and expose an HTTPS MCP endpoint for Perplexity.
Stack
• Node.js + TypeScript preferred
• Bonus: Python + pandas / spreadsheet automation (our business is spreadsheet-heavy and this could lead to extra data work)

What’s already in place
• Hostinger VPS (Ubuntu 24.04) with Docker Manager
• Live WordPress site with REST API and Application Passwords available
• Subdomain ready
• Written spec with desired tools and a starter Docker Compose outline

Core requirements
Read tools (MCP):
•  search_content(query, type) 
•  get_page(id_or_slug)  and  list_pages 
•  get_post(id)  and  list_recent_posts(limit) 
Write tools (MCP):
•  create_page_draft(title, content, slug, meta…) 
•  update_page(id, fields…) 
•  publish_page(id) 

Guardrails:
• Draft‑first by default
•  publish_page  must be a separate, explicit action
• No delete tools in v1
• Pages only (no posts/media yet)
• Simple “protected pages” list (home, legal, etc.) that cannot be changed accidentally
• Log every write action (no secrets in logs)
Technical
• Use WordPress REST API with a dedicated service user + Application Password (read/write).
• Config via environment variables ( WP_BASE_URL ,  WP_USERNAME ,  WP_APP_PASSWORD , optional  MCP_API_KEY , etc.).
• Package as Docker / Docker Compose and deploy using Hostinger Docker Manager.
• Put behind a reverse proxy (Nginx / Traefik / Nginx Proxy Manager) so Perplexity can reach it at  https://mcp.ourdomain.com .

Deliverables
• Source code (Git repo)
•  docker-compose.yml  and any proxy config
• Short README (how to run, env vars, MCP tools)
• Quick handover on how to plug the MCP URL into Perplexity

Ideal freelancer
• Strong Node.js / TypeScript API experience
• Has actually integrated with WordPress REST API before (creating/updating pages)
• Comfortable with Docker, VPS deployment, and HTTPS
• Nice to have: MCP / AI‑tool integrations, and Python/pandas for future spreadsheet/data work

To apply, please share:
• A similar API/CMS integration you’ve built
• Your preferred approach (framework, structure)
• How you’d keep the draft → review → publish flow safe for a live business website

• Q1. WordPress REST API experience Describe one project where you integrated a service with WordPress via the REST API. What did your code do (read, write, publish), and what stack did you use?
• Q2. Draft → publish safety Given a live WordPress site, how would you design a draft → review → publish workflow so an AI tool can create/update pages without accidentally breaking the site? (Please mention any guardrails you would add.)
• Q3. Node/TypeScript & Docker What is your preferred stack for this project and why? Please confirm your experience with Node.js + TypeScript and Docker / Docker Compose on a VPS.
• Q4. WordPress authentication How would you authenticate your code to WordPress for read/write REST API access in production? Please mention Application Passwords or any other methods you would consider and why.
• Q5. MCP / AI & Python Have you built any MCP servers or API bridges for AI tools (Perplexity, Claude, ChatGPT, etc.)? Do you also have experience with Python/pandas for spreadsheet/data work? Briefly describe.

About FRDM
FRDM Engineering is a custom-build consultancy that embeds with operators in pipelines, refining, and heavy industry. We work the way Forward Deployed Engineers do at the best software companies: a small team sits with the client, learns the operation cold, and builds what the off-the-shelf vendor can't. We're growing the pipeline practice and we need a senior controls engineer who has actually commissioned advanced process control on a moving-liquids system.

The role
You'll be the technical lead on APC engagements with pipeline operators. That means scoping the opportunity with the client's controls and operations leads, building the model, writing the controller, sitting in the control room during cutover, and tuning until dispatch trusts it. You'll work alongside FRDM's data and software engineers, who handle historian integration and operator-facing tooling, so you can stay focused on the control problem.

Expect a mix of:
→ Two or three active client engagements at any time, with on-site weeks roughly monthly per project
→ Step testing, model identification, and MPC controller design on liquids pipelines (batched products, crude, or NGLs), tank farms, and pump stations
→ Working directly with operators and dispatch on constraint handling, ramp behavior, and override logic


What we need you to bring
→ 10+ years in process control, with a meaningful portion on pipelines or terminals (gathering, midstream, products, or crude — any of them)
→ Hands-on APC delivery: you've identified models, built and tuned an MPC controller, walked it through site acceptance, and lived with it through a sustained period of operator use
→ Comfort with at least one of the major APC platforms (AspenTech DMC3, Honeywell Profit Controller, Shell RPMS, PAS, or equivalent), and a point of view on where Crux OCM and the newer entrants fit
→ Working knowledge of pipeline hydraulics, leak detection (CPM and RTTM), SCADA platforms (OASyS, Bristol Babcock, GE iFix), and the regulatory backdrop (PHMSA, API 1130, API 1149)
→ Willingness to travel about a week a month on average, more during commissioning windows
→ A working style that fits the FDE model. You can explain trade-offs to a VP of operations in the morning and sit with a senior console operator debugging a tuning issue that afternoon.

Nice to have
→ Prior work with major pipeline operators with large liquid pipelines
→ Python or MATLAB strong enough to prototype identification routines outside the vendor tools
→ Experience integrating APC with optimization layers (RTO, scheduling, batch tracking)
→ Published work, ISA involvement, or other signs you stay current

What we offer
→ Senior-level base compensation at the top of the market for the role, plus performance-based variable comp tied to engagement outcomes
→ Remote-first, with travel paid the way you'd expect
→ Direct working relationship with the founding team and a real say in how the pipeline practice gets built

How to apply
Reply with you CV and we'll initiate the discussion. If you've shipped an APC project you're proud of, tell me about it: what the controller actually did differently, what the operators said about it six months in, and what you'd do differently next time.

Project Description:

We are conducting a high-level competition and market structure analysis of the private health insurance market in Saudi Arabia and are seeking an experienced data analyst with strong data visualization capabilities to support the project.

The work involves collecting, structuring, analyzing, and visualizing publicly available healthcare insurance market data for inclusion in an executive-level regulatory and strategy report.

The ideal candidate should have experience in one or more of the following:
• Healthcare analytics
• Health insurance analytics
• Market competition analysis
• Economic/regulatory analysis
• Dashboard and data visualization development
• Public health or payer-provider analytics

Scope of Work:
The selected freelancer will support the project team with:

• Extraction and organization of publicly available market data
• Cleaning and structuring datasets from reports and regulatory publications
• Trend analysis and market concentration analysis
• Claims, complaints, rejection, and premium trend analysis
• Inflation versus premium escalation analysis
• Support in survey data analysis and presentation
• Development of executive-quality charts, graphs, dashboards, and visualizations
• Translation of data into clear and defensible market insights

Potential Data Areas:
• Health insurance premiums
• Market share concentration
• Complaints and rejection trends
• Provider network trends
• Inflation and healthcare cost trends
• Public regulatory and insurer reports
• Survey data from providers/employers/patients

Deliverables:
• Structured datasets
• Analytical summaries
• Executive-quality visualizations
• PowerPoint-ready charts and graphics
• Support for evidence-based reporting

Preferred Technical Skills:
• Tableau
• Power BI
• Excel (advanced)
• SQL
• Python or R
• Healthcare/insurance analytics experience

Strong preference will be given to candidates with prior experience in:
• Healthcare payer/provider markets
• Insurance analytics
• Regulatory or competition analysis
• Healthcare consulting or health economics

To Apply:
Please provide:
• Relevant portfolio/work samples
• Examples of dashboards or healthcare-related analytics work
• Brief description of similar projects completed
• Tools/platforms you use
• Estimated availability over the next 4–6 weeks

This is a strategy and regulatory-oriented project. We are looking for someone who can not only analyze data, but also help tell a compelling evidence-based story through strong visualization and analytical thinking.

• Describe your recent experience with similar projects
• How do you handle sensitive information or records?

I’m looking for a hands-on AI Agent Systems Architect / Engineer to help migrate several existing AI agents from Claude Code-based Slack bots into Hermes agents.

These agents already exist and run as Slack bots. They have different tools, skills, local/global configurations, scripts, instructions, memory/workflows, and possibly MCP or other tool integrations.

The main reason for this migration is to move these Slack agents into Hermes so they can use OpenAI Codex subscription/OAuth access instead of generating ongoing Claude API costs.

The goal is to preserve the useful behavior of the existing Claude Code-based Slack bots while making them cheaper, cleaner, and more scalable to run long-term through Hermes + Codex.

This is both a migration project and a future AI agent systems architecture role.

What you’ll do

You will help with:

- Reviewing the existing Claude Code agent setup
- Understanding each Slack bot’s current behavior and purpose
- Inspecting global and local tools, skills, commands, configs, scripts, and instructions
- Designing the right Hermes structure for the agents
- Deciding what should be shared vs bot-specific
- Migrating useful workflows into Hermes agents
- Setting up Hermes profiles, tools, skills, memory/workflow structure, and Slack gateway behavior
- Making sure recurring Slack bot work can run through Hermes using Codex subscription/OAuth access
- Preserving production behavior while improving maintainability
- Documenting how the new system works
- Helping design future AI agent workflows and automations

The kind of person I’m looking for

I’m looking for someone who is both:

1. Architectural — can think through the right long-term structure for multiple AI agents.
2. Hands-on — can actually inspect, debug, refactor, migrate, test, and maintain the system.

This is a real engineering role, not a no-code/low-code automation role.

You can use AI coding tools, but you should not depend on them blindly. I’m looking for someone with strong software engineering fundamentals who can read and understand code, debug unfamiliar systems, work with configs/logs/APIs, and improve an existing setup without breaking it.

The ideal person is comfortable working inside a messy existing codebase or agent setup, understanding how it works, and gradually making it cleaner.

Relevant experience

Strong experience in some or most of these areas is important:

- AI agents / LLM tool-calling systems
- Claude Code, Codex, Cursor, or similar AI coding agents
- Hermes Agent or willingness to learn it quickly
- Slack bots or messaging-based agents
- Python
- Node.js / TypeScript
- Bash / CLI tooling
- YAML / JSON configuration
- Git
- Linux/server environments
- API integrations
- MCP servers or custom tools
- Background jobs, scheduled tasks, monitoring, or production automation

You do not need to be an expert in every tool, but you should be able to move across the stack confidently and debug unfamiliar systems.

Project goals

The first goal is to migrate the current Claude Code-based Slack agents into Hermes.

A good outcome would include:

- Clear inventory of the current agents and their tools/skills/configs
- Recommended Hermes profile structure
- Shared vs agent-specific tools and skills
- Safe migration plan
- Working migrated agents
- Recurring Slack bot workflows running through Hermes using Codex subscription/OAuth access where possible
- Reduced dependency on Claude API usage for ongoing production work
- Documentation for how each agent works
- Cleaner structure for building future agents

Future work

If this goes well, there may be ongoing work building and improving AI agents, including:

- Creating new Hermes agents
- Adding tools and skills
- Improving Slack bot workflows
- Connecting agents to internal systems
- Setting up monitoring and scheduled tasks
- Designing multi-agent workflows
- Reducing model/API costs
- Maintaining and improving the overall agent architecture

Contract type

This is an hourly role.

I’m looking for the right person: someone who can help with the immediate migration and also support future AI agent architecture and development work.

We can start with discovery and migration planning, then continue into implementation and ongoing improvements if there is a good fit.

• Briefly describe one AI agent, Slack bot, automation, or tool-calling system you’ve built or maintained. What did it do?
• Which parts of this work are you strongest in? Examples: Python, Node.js/TypeScript, Slack bots, MCP/tools, Linux/servers, Claude Code, Codex, Hermes, agent architecture, APIs, etc.
• Can you share any relevant examples, GitHub links, screenshots, docs, demos, or short descriptions of similar work? If the work is private, a short explanation is fine.

We are an AI Voice Agency that are in the process of scaling and we need a new developer to help us handle our uptake in customers. We need someone who will come on-board, show they know what they are doing and we will continuously feed them project in the coming months and years. We need top tier developers, people who have been building these systems for the past 6 months minimum.

We are a Dubai-based construction company looking for an experienced Odoo developer/consultant to implement a simple and practical procurement workflow system for our projects.

Platform:
Odoo (Community or Enterprise)

Industry:
Construction / Contracting

Current Requirement:
We need a lean procurement tracking workflow from site request until delivery and payment tracking.

IMPORTANT:
We are NOT looking for a complicated ERP implementation initially.
Phase 1 focus is ONLY operational workflow and tracking.

Required Workflow:
Site Engineer raises Material Request
→ Project Manager Approval
→ Procurement Review
→ RFQ / Purchase Order
→ Supplier Delivery Tracking
→ Storekeeper / Site Receipt
→ Payment Status Tracking

Required Features:

Material Request module/form
Approval workflow
User roles & permissions
Status tracking
RFQ & PO integration
Delivery tracking
Basic payment status visibility
Email notifications
Mobile-friendly usage for site engineers
Simple dashboard / pending requests view

Preferred Experience:

Odoo procurement workflows
Construction industry experience preferred
Odoo customization
Workflow automation
UI simplification for site teams

Important Notes:

We prefer SIMPLE and PRACTICAL implementation
Avoid unnecessary ERP complexity
Mobile usability is very important
Site engineers should be able to create requests easily
Initial phase does NOT include full accounting integration

Deliverables:

Odoo setup & configuration
Required customization
Workflow automation
User roles setup
Testing & deployment
Basic training/support

Please share:

Previous Odoo projects
Construction-related experience
Timeline
Budget proposal
Whether using existing Odoo apps or custom development

Company:
Element 4 Solutions LLC
Dubai, UAE

• Describe your recent experience with similar projects
• What experience do you have working with different project types?
• How do you incorporate feedback and changes into your work?

I have a vibe coded app, I need someone to look at the code and refine it to make it production ready.

As part of the feature, I need a script that scrapes 5 websites data, pull's that data onto a backend database, and auto-updates the app hourly with the data.

We are looking for a highly capable DevOps & Cloud Infrastructure Engineer to help us scale and operate a growing fleet of AI-powered edge devices deployed across healthcare facilities.

This role is ideal for someone who enjoys working across cloud infrastructure, edge systems, networking, CI/CD, observability, security, and production reliability.

Responsibilities
Cloud Infrastructure & Platform Engineering
Design, deploy, and maintain scalable cloud infrastructure on Google Cloud Platform (GCP)
Manage production services running on:
Cloud Run
GKE / Kubernetes
Pub/Sub
Cloud SQL
Artifact Registry
IAM
VPC networking
Build highly reliable backend infrastructure for real-time IoT and AI workloads
Optimize cloud performance, uptime, scalability, and operational cost
Edge Device & Fleet Operations
Support large-scale deployment and management of Linux-based AI edge devices (Jetson Orin platforms)
Design and improve:
OTA update pipelines
Device provisioning
Remote monitoring
Health checks
Rollback systems
Device authentication and certificate management
Help scale infrastructure from pilot deployments to hundreds/thousands of devices
CI/CD & Automation
Build and maintain CI/CD pipelines using GitHub Actions and related tooling
Automate infrastructure deployment using Infrastructure-as-Code tools such as Terraform
Improve engineering workflows, release management, and deployment safety
Implement staging, canary rollout, and rollback strategies
Observability & Reliability
Build monitoring, alerting, and logging infrastructure
Improve visibility into:
Device health
Cloud services
AI pipelines
Connectivity issues
Production incidents
Work with engineering teams to improve system reliability and uptime
Lead root-cause investigations for production issues
Security & Compliance
Implement cloud and device security best practices
Manage secrets, certificates, IAM policies, and secure communications
Support HIPAA/SOC2-oriented infrastructure and operational requirements
Improve auditability, access control, and operational security posture
Cross-Functional Collaboration
Work closely with:
AI engineers
Robotics engineers
Backend developers
Product and operations teams
Support deployment readiness for hospitals and enterprise healthcare environments

I'm looking for one strong engineer to build a real-time body-gesture recognition engine from scratch and deliver it in shippable condition. You'll own the full stack — from camera frames to gesture events landing in a Unity game.

What you'll build

A Python engine that reads frames from any standard USB webcam, runs pose estimation, detects body gestures and continuous body signals, and streams the results in real time to a Unity client via a lightweight C# SDK you'll also build. The end result: a person stands in front of a webcam, and a Unity game reacts to their movements — punches, kicks, jumps, claps, waves, held poses, body lean, and more.

The system needs to support single-player and multi-player modes (up to 4 concurrent players with stable identity tracking), run on a mid-tier laptop, and feel instant — sub-100 ms from motion to in-game reaction.

Scope of work

1. Engine — camera capture, preprocessing (low-light handling, smoothing, normalization), pose estimation, gesture detection (rule-based + a lightweight ML classifier), and continuous signal extraction.
2. Multi-player tracking — stable per-player IDs through crossings and brief occlusions.
3. Unity SDK — clean C# package with receivers, an event bus, and sample scenes that demonstrate each capability.
4. Testing — unit and integration tests, plus real-world testing in front of a webcam to catch the long tail of bugs.
5. Optimization — hit strict FPS, latency, CPU, and false-positive targets on a mid-tier laptop.
6. Release — installable binaries (Windows priority) and a drop-in Unity package, with concise setup docs.

The architecture, gesture vocabulary, and performance targets are already defined — you won't be designing the product, you'll be executing on a clear spec.

Tech stack (you should be fluent in all of these)

Python 3.11 · MediaPipe · OpenCV · YOLOv8-pose · NumPy / SciPy · PyTorch or scikit-learn · MsgPack · Pydantic · pytest · Unity 2022+ C# · low-latency networking.

Required experience

- 5+ years Python, including real-time computer vision work
- Shipped at least one product using MediaPipe or YOLO pose estimation
- Solid Unity C# — enough to deliver a clean SDK and working sample scenes
- Has actually optimized a CV pipeline to hit a latency / FPS target (not just attempted)
- Comfortable with profiling, ring buffers, and avoiding GC / GIL stalls

Nice to have

- Multi-object tracking experience (ByteTrack or similar)
- PyInstaller packaging on Windows
- Prior work on gesture, fitness, or motion-based apps

How we'll work

- Weekly milestone demos — each phase ends with something runnable
- Code review on every PR; CI must stay green (lint, types, tests)
- Async-first, with one short sync call per week

To apply, please include

1. Links to one MediaPipe or YOLO pose project and one Unity C# project you shipped. Code samples preferred over videos.
2. A short note (≤150 words) on how you'd approach hitting sub-100 ms end-to-end latency on a mid-tier laptop — specifically what you'd profile first.
3. Your availability (hrs/week) and earliest start date.
4. The word "skeleton" at the top of your proposal so I know you read this.

Generic AI-written proposals will be ignored.

Dear Partners
Please support on off shore role

Position Requirements:
See attached Job Description
Job Title:
Data Engineer – AI/BI
Projected Start Date:
June 29, 2026
Duration:
1 year

Client UMGC

Must have-AI Platform Engineering Experience
Total experience min- 6 Years needed

Remote – offshore/near-shore (this means we expect the resource is remote and located outside of the US but should be available until 4:30 P.M. ET)*
( Need locals to PAN INDIA , GCC and anywhere from Asia)


Responsibilities:
Build and scale Databricks AI/BI solutions (dashboards, Genie experiences, data pipelines)
Develop ETL/ELT pipelines (Apache Spark, Delta Lake) following Medallion Architecture
Integrate data from enterprise systems (PeopleSoft, Salesforce, D2L)
Ensure data quality, governance, and security (Unity Catalog, encryption, access control)
Enable AI/ML teams with high-quality data and feature stores
Architect cloud data lakes (ADLS, S3) and data marts
Document and enable teams on Databricks, Medallion Architecture, and governance
Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment within Databricks.

Required Qualifications:
Hands-on experience with Databricks (Delta Lake, Apache Spark)ELT pipeline development and Medallion Architecture
SQL, Python, or Scala proficiency
Experience integrating enterprise platforms
Data governance and metadata management

Preferred Qualifications:
Databricks Unity Catalog experience
AI/ML model deployment (MLFlow)
Support AIOps lifecycle workflows
Cloud platform experience (Azure, AWS)
Data warehouse design knowledge

• How many years of experience in Databricks?
• How many years of experience in python or scala?
• How many years of experience in ETL/ELT pipeline development?
• How many years of experience in AWS/Azure?
• How many years of experience in AI/ML?

I'm seeking a Pinescript professional for a TradingView indicator.

The indicator is based on micro structural breaks + reversal marking on the price chart on candlesticks. This is not usual market structure, like on a bigger scale.

"Truly based on candle-by-candle logic," a little hard to understand the logics, but i will help you
along the creation.

AI Podcast Generation Dataset Creation Using Spotify Save-to-Spotify (CLI Tool + Claude Code)

Job Title
Podcast Generation Contractor: Run 50 Prompts Across Spotify Save-to-Spotify (CLI Tool + Claude Code): Collect Audio, Transcripts, Timing & Cost/Token Usage Data

=====

Project Overview
We have a fixed set of 50 benchmark prompts spanning multiple topics (arts & humanities, technology, science, business, and more). We need an experienced contractor to run each prompt through the podcast-generation tool and return a clean, consistently organized dataset of the results. This is purely an execution and data-collection task.

=====

Tools You Will Use
You must have hands-on familiarity with:

1. Spotify Save-to-Spotify (CLI Tool + Claude Code)
Spotify has published an open-source CLI tool for saving AI-generated personal podcasts directly to a Spotify library. Repo is available on Spotify's Github account publicly.
The recommended workflow uses Claude Code (Anthropic's agentic coding assistant) as the agent. We will provide a Claude API key. You do NOT need to pay for Claude usage.
You are responsible for installing the CLI, authenticating with Spotify via browser, and running the tool successfully before attempting the full 50-prompt run.
As part of your deliverables (see below) you must write a clear, step-by-step setup runbook so another person can reproduce your environment from scratch.

We can provide you accounts and login info for the required tools.


=====

Deliverables
For each of the 50 prompts, you will collect and organize:

Audio file The generated (.mp3, .wav, or whatever the tool exports). Named consistently, e.g. Spotify/C-042.mp3.

Transcript or script The produced by the tool, if the tool makes one available (plain text or .txt). If not available, note that explicitly, do not generate your own.

Generation time The time from submitting the prompt to the audio being ready to download/play (in seconds). You can use a stopwatch or basic coding to log the time.

Cost - Perform basic coding to log and calculate token usage, and cost when using Save-to-Spotify tool via Claude Code

All of the above must be captured in a single structured results file (spreadsheet, CSV) with one row per run, containing at minimum the following columns:

benchmark_id — matches our prompt list, e.g. C-001 … C-50
user_prompt — the exact prompt text, verbatim — do not rephrase
system — save_to_spotify
status — success | failed | partial
failure_reason — plain-English description when status ≠ success; leave blank otherwise
audio_path — relative path to the audio file in your submission folder
transcript_path — relative path to transcript file, or 'not_available'
generation_time_sec — measured wall-clock seconds, or blank if you could not measure
cost — cost displayed by the tool, or 'not_shown'
notes — anything unusual about this run

Also deliver:
An organized folder structure for all audio and transcript files (predictable naming, consistent across all three tools).

A Runbook / README (Markdown or Word) covering: environment setup for each tool, authentication steps for Save-to-Spotify + Claude Code, step-by-step procedure per tool, known limitations or rate limits encountered, and how you measured generation time.

=====

What We Provide
The 50-prompt list file with prompt IDs and prompt text.
Step-by-Step Instructions
A Claude API key for use with Save-to-Spotify (do not share this key publicly or in Upwork chat — we will use a secure handoff).
A TTS service API key (we will confirm at project start).
Clarification calls / async Q&A during the project.

We can provide you accounts and login info for the required tools.

=====

Requirements
Demonstrated hands-on experience generating podcast or audio-overview content in Spotify Save-to-Spotify (CLI Tool + Claude Code) (within the last 6 months).
Comfortable with developer tooling: installing CLI tools from GitHub, terminal usage, environment variables, browser-based OAuth flows.
Ability to install and operate the Spotify Save-to-Spotify CLI and troubleshoot setup issues independently.
Strict data hygiene: use the exact prompt text provided, log failures honestly, and never silently substitute or rewrite prompts.

=====

Nice to Have
Prior experience collecting or curating datasets.
Experience with Claude Code or other agentic coding assistants.
Familiarity with basic spreadsheet tools.

=====

Engagement Structure (Milestones)

Milestone 1 — Pilot (10 prompts)
Deliver a results Google Docs spreadsheet + 10 audio files (or honest failure rows) for the first 10 prompts.
Deliver a draft runbook for Save-to-Spotify setup.
We review for naming consistency, data completeness, and setup reproducibility before authorizing Milestone 2.

Milestone 2 — Full Run (remaining 40 prompts)
Complete results Google Docs spreadsheet (all 50 rows), full audio/transcript archive, and final runbook.

=====

To Apply, Please Answer These Questions
Short answers only, we read every one.

Describe your Spotify Save-to-Spotify (CLI Tool + Claude Code) workflow for generating an Audio Overview

Have you installed a developer CLI tool from GitHub before (e.g. npm/npx package, Python package, or similar)? Describe briefly.

What blockers do you anticipate with the Spotify Save-to-Spotify setup, and how would you handle them?

Can you perform basic coding to log and calculate token usage, cost and time when using Save-to-Spotify tool via Claude Code?


Please tell about or share a link to a prior work sample (output, dataset, or documentation you produced). Redacted/private is fine — just describe what it is.

=====

Note: All outputs are for internal evaluation purposes only. Do not publish any generated audio, or data or information publicly. Use only your own accounts where personal accounts are required by a platform's terms of service.

We are seeking a skilled freelancer to develop an AI agent and chatbot for our business. The ideal candidate will have experience in AI development and be able to create a chatbot that can effectively engage with customers and provide support. The project involves designing and implementing AI solutions that enhance customer interaction and improve business efficiency.

How to Apply

Please send:

A short intro about your experience.
Examples of similar AI agent, chatbot, or lead generation projects.
Tools you have worked with.

A short Loom video explaining your previous work or approach would be a plus.

Are you a seasoned freelancer looking to share your knowledge? I'm seeking a professional to develop engaging courses focused on starting a freelance career. The ideal candidate should cover essential topics like finding clients, setting rates, and managing projects. The courses will target beginners and should be informative, interactive, and easy to understand. Your expertise will help aspiring freelancers thrive in their journey. If you have experience in course creation and a passion for teaching, I would love to hear from you!

We are seeking a skilled tester for our WPF application, which includes a Python backend and React frontend. The role involves testing for 4 hours daily and participating in two client meetings weekly. Candidates from Tamil Nadu are preferred.

• What is your current location
• Are you currently working in a company?

I’m looking for an experienced Make.com (Integromat) automation expert who can help me with a quick fix in my workflow. The task is small and straightforward but requires someone familiar with Make.com to resolve efficiently.

Requirements:

Experience with Make.com (Integromat)

Ability to quickly troubleshoot and fix simple errors

Clear communication

Role Overview:

We are looking for an experienced RocketChat Integration Engineer with hands-on AI integration experience. You will connect RocketChat with our AI agent framework to enable intelligent, automated communication workflows and reporting across our organization.
Only candidates with specific and proven RocketChat integration experience will be considered.

Scope of Work:

Full Rocket.Chat setup, configuration, and administration with AI
Integration of RocketChat with an AI agent(s) framework, such as OpenClaw or similar
Configure AI-driven bots, automated messaging, alerts, and notifications, reports, and intelligence.
Connect AI agent for intelligent workflow automation, routing, and escalation
Implement secure authentication, including OAuth and API tokens
Configure user roles, permissions, and access control
Set up monitoring and logging for all workflows

Requirements:

Proven hands-on Rocket.Chat setup and administration experience
Specific experience integrating Rocket.Chat with AI systems or agent frameworks
Strong Rocket.Chat API and webhook configuration experience
Experience building and deploying bots within Rocket.Chat
Linux server administration and API integration skills

Preferred:

Experience with OpenClaw or similar AI agent frameworks
Docker and containerization experience
Google Workspace API knowledge
Deliverables
Fully deployed and configured RocketChat environment
The AI agent is fully integrated with RocketChat
Automated bots, alerts, and notification workflows live
Complete documentation and team training

Engagement Structure:

Project-based, with the possibility of ongoing support
Remote or on-site flexible arrangement
Milestone-based compensation

Please begin your proposal with the words ROCKETCHAT ARTIFICIAL INTELLIGENCE

Important Note:
DO NOT message or e-mail anyone from the company directly, or your application will not be considered.

• Have you previously integrated RocketChat with an AI agent or automation framework? If yes, please describe the project and the specific integrations you implemented.
• Do you have hands-on experience building and deploying AI-driven bots within RocketChat, including automated messaging, alerts, and workflow routing?

Hi Pulkit sir
​I am looking for an experienced Quantitative / Algorithmic Trading Developer to build a fully automated, low-latency custom trading setup in Python. The strategy is strictly based on Market Depth (Level 2 Order Book Data) and aims to capture intraday trend reversals in high-volume stocks (specifically targeting the Nifty Pharma sector, such as Sun Pharma, Dr. Reddy's, Zydus, Lupin, etc.).
​Here are the core technical requirements for the project:
​Data Ingestion (Low Latency):
​Implement a robust WebSocket connection using Python's asyncio and websockets libraries to stream real-time Level 2 Market Depth (Top 5 Bids and Asks with exact quantities) directly from the broker (Fyers API / Dhan HQ API).
​The listener should be highly stable and capable of handling fast data ticks during peak market hours without lagging.
​Core Logic Engine (Liquidity & Order Flow Analytics):
​The algorithm needs to constantly monitor a specific watchlist of stocks near key intraday structural levels.
​Signal Trigger: Identify Price Action Reversals via Order Book Absorption. The script should detect when price stalls at a resistance/support zone despite high aggressive volume, signaling that institutional limit orders ("Big Walls") are absorbing the flow.
​Confirmation: Combine order book depth analysis (e.g., Bid-Ask volume imbalance ratio shifting significantly) with secondary technical confirmations like a sharp Volume Spike or RSI divergence.
​Risk Management & Order Execution:
​Instant order punching via the broker's Trading API using market or immediate limit orders once conditions are met.
​Automated Stop-Loss placement dynamically behind the "Big Wall" price level or structural high/low, along with predefined target tracking.
​Notifications & Logs:
​Integration with the Telegram API to broadcast real-time operational logs, signal generation details, and execution statuses (e.g., "Signal detected, Order placed for Sun Pharma at ₹XXXX").
​Deployment:
​The code should be clean, modular, well-documented, and optimized to run 24/7 on a Linux VPS (Ubuntu server) with proper exception handling and auto-reconnect logic if the broker's API drops.
​What I am looking for in a Developer:
​Prior hands-on experience working with Indian Broker APIs (Fyers, Dhan, etc.), specifically handling multi-level WebSocket depth feeds.
​Strong background in writing asynchronous Python code (asyncio) for financial markets.
​Experience in deploying trading scripts on cloud structures (AWS/DigitalOcean VPS).
​Please let me know your previous experience with Level 2/Order flow data and how we can take this forward. Looking forward to your proposal!

Role Overview:

We are looking for an experienced AI Automation Engineer to manage, implement, and support a fully automated order processing, fulfillment, and shipping system. You will integrate our e-commerce shipping carriers with AI agents to manage and orchestrate end-to-end operations.

Key Objectives:

Automate end-to-end order processing from Shopify, Amazon, and other e-commerce platforms.
Automate label printing, packaging lists, and shipping documentation
Ensure shipping labels and packing lists are printed in the correct order
Automate boxing, packing, and fulfillment workflows through AI
Integrate the OpenClaw (or other) AI agent framework to manage and orchestrate all operations
Reduce manual effort and human error across the entire fulfillment process

Scope of Work:

E-Commerce Integration
Shopify and Amazon Seller Central full integration
Real-time automated order syncing and AI-driven order prioritization
Shipping Carrier Integration
Integrations with USPS, UPS, and FedEx, and 3PL warehouse API.
Automated label generation, rate shopping, and tracking updates
Ensure labels and packing lists print in the correct sequence and order
Warehouse & Fulfillment Automation
Automated boxing recommendations and packing list generation
Print queue management for labels and shipping documents
Real-time inventory updates across Shopify and Amazon upon shipment

AI Agent Integration:

Deploy and configure the OpenClaw AI agent to manage all workflows
AI-driven exception handling for failed shipments and carrier issues
Real-time reporting and dashboards via Google Sheets

Requirements:

Proven experience with Shopify and Amazon Seller Central integrations
Hands-on experience with USPS, UPS, and FedEx shipping APIs
Experience with label printing automation and print queue management
Strong background in AI agent frameworks such as OpenClaw or similar
Strong API integration and workflow automation skills
Ability to deliver within a short, defined project timeline

Preferences:

Experience with multi-channel e-commerce automation
Knowledge of Google Workspace API
Experience with Docker and containerization
Prior work with AI-driven fulfillment and logistics systems

Deliverables:

Fully integrated Shopify and Amazon order management system
Automated label generation and correct sequence printing
Fully automated boxing and fulfillment workflow
AI agent configured and managing all operations
Complete documentation and team training

Engagement Structure:

Project-based, with the possibility of ongoing support
Remote or on-site flexible arrangement
Milestone-based compensation tied to delivered outcomes

How to Apply:

Please apply through Upwork and include relevant experience along with examples of similar e-commerce and shipping automation projects.
Please begin your proposal with the words ARTIFICIAL INTELLIGENCE.

Important Note:

DO NOT message or e-mail anyone from the company directly, or your application will not be considered.

• Do you have hands-on experience automating label printing and packing list generation in the correct sequence for warehouse fulfillment operations?
• Have you previously integrated Shopify and Amazon Seller Central with automated shipping carriers such as USPS, UPS, or FedEx? If yes, briefly describe the project and the results achieved.

Hiring: Data Analyst (India Only)

Looking for a Data Analyst with experience in ETL workflows and data Analysis.

Criteria:

Shift: 7.30 AM to 3 AM
Monthly: 60k
Experience: 3+ in Tableau and Databricks must have.

Requirements:
• Good SQL knowledge
• Experience with Databricks or Snowflake
• Experience with Tableau
• Understanding of ETL workflows and data transformation
• Good communication skills
• Compulsory Night Shift (US Time)

Experience: 3+ Years
Type: Freelancing Remote

If interested, please share:

• Updated resume
• Current location
• Years of experience
• confirm your availability
• Availability to join
• sharing experience on the tableau and Databricks and ETL

Please apply before you are really interested in this. Ignore if you want any adjustments in payout and shift timings.

• Describe your recent experience with similar projects
• Please list any certifications related to this project
• What techniques would you use to clean a data set?
• How do you deal with outliers or missing values in a dataset?

We are building an AI-native enterprise transformation and change management platform called ChangeCurve.ai.

This is NOT a simple chatbot project.

We are developing a sophisticated enterprise transformation intelligence system that combines:

* advanced prompt orchestration,
* structured transformation activity frameworks,
* enterprise reasoning systems,
* retrieval-augmented generation (RAG),
* transformation heuristics,
* and AI-driven execution planning.

We are looking for an experienced AI Prompt Engineer / AI Architect who has experience designing enterprise-grade prompting systems and orchestration architectures for complex business workflows.

## What We Have Already Built

We already have:

* a modular Prompt Manager,
* multiple specialized prompt domains,
* Supabase infrastructure,
* Replit application environment,
* structured change management workflows,
* and enterprise transformation domain expertise.

We also have highly sophisticated domain prompts already developed.

## What We Need Help With

We are looking for someone who can help:

* refine and modularize enterprise prompts,
* improve prompt orchestration architecture,
* design structured reasoning frameworks,
* integrate retrieval-augmented generation (RAG),
* improve consistency and realism of outputs,
* design prompt injection and retrieval strategies,
* structure transformation activity intelligence,
* and help evolve our AI architecture from “prompt-based generation” into a true enterprise transformation intelligence system.

## Ideal Experience

Strong preference for candidates with experience in:

* GPT-4 / OpenAI prompting,
* Claude prompting,
* enterprise AI systems,
* agentic workflows,
* prompt orchestration,
* RAG architectures,
* vector retrieval systems,
* Supabase,
* enterprise SaaS AI products,
* workflow intelligence systems,
* knowledge graphs,
* or operational AI systems.

Experience with:

* management consulting,
* ERP transformations,
* SAP programs,
* organizational change management,
* enterprise PMO tooling,
* HR transformation,
* or enterprise operations
is a major plus.

## What We Are NOT Looking For

We are NOT looking for:

* generic “prompt writers,”
* basic ChatGPT users,
* social media AI copywriters,
* or simple chatbot builders.

We need someone capable of thinking at the level of:

* enterprise systems,
* orchestration logic,
* reasoning architecture,
* operational intelligence,
* and AI workflow design.

## Engagement

Initial engagement:

* architecture review,
* prompt refinement,
* orchestration design,
* and implementation recommendations.

Potential for long-term partnership if there is strong alignment.

## To Apply

Please include:

1. Examples of sophisticated prompts or orchestration systems you have designed
2. Your experience with RAG and enterprise AI workflows
3. Any experience with operational AI systems or enterprise transformation domains
4. Your approach to building scalable prompt architectures
5. Examples of AI systems where prompts interact with structured data, workflows, or retrieval systems

Bonus if you have experience building AI systems that go beyond simple text generation into operational or decision-support intelligence.

We are Propest AI, a Dutch AI and software company focused on building custom AI solutions, automation systems, web applications, mobile apps and AI-driven business tools.

We already handle project management, client communication, planning and progress tracking internally. We are not looking for a project manager.

We are looking for a professional technical partner, development team or agency that can support us with the technical execution of our projects.

The goal is to build a long-term collaboration for development, technical support and back-up capacity.

What we need developers to build

We are looking for technical support in the following areas:

1. Custom AI Solutions

Developers should be able to build custom AI systems for businesses, such as:

AI chatbots
AI agents
knowledge-base AI systems
automated workflows
AI assistants for internal business processes
lead qualification systems
document analysis tools
CRM/API integrations
AI automation for sales, support or operations
2. Elara AI Solution

We are also building and improving Elara, our own AI-agent solution.

We need support with:

Elara feature development
AI-agent logic
customer modules
backend development
user flows
API integrations
automation workflows
dashboard or portal connections
maintenance and updates
3. Website Development

We also offer professional websites for clients.

Developers should be able to build:

business websites
landing pages
service pages
conversion-focused websites
responsive designs
fast and clean websites
integrations with forms, CRM or automation tools
4. Web App Development

We need support with building web applications such as:

customer portals
internal dashboards
admin panels
SaaS-style platforms
booking systems
workflow systems
login systems
database-driven applications
API-connected web apps
5. Mobile App Development

We also need support with mobile app development.

This can include:

iOS and Android apps
React Native or Flutter apps
user accounts
notifications
dashboards
API integrations
payment integrations
app store deployment
maintenance and updates
Required Skills

We are looking for a team or agency with experience in:

React / Next.js
React Native or Flutter
Node.js or Python
OpenAI API
Claude API
LLM integrations
AI agents
RAG / knowledge-base AI
Supabase, Firebase or PostgreSQL
REST APIs and webhooks
authentication and user roles
API security
clean backend architecture
testing and bug fixing
technical documentation
deployment and maintenance
Important Collaboration Requirements

We are looking for a professional long-term collaboration.

Important requirements:

White-label collaboration possible
NDA and confidentiality
No direct client contact without permission
Clean and transferable code
Strong technical documentation
Reliable communication
Professional delivery quality
Ability to work as technical back-up
Experience with business clients
Flexible availability for future projects
What Propest AI handles internally

Propest AI will handle:

project management
client communication
planning
progress dashboard
client relationship
sales process
final project control

The technical partner will only support with:

development
AI integrations
app development
backend/API work
testing
bug fixing
technical documentation
technical maintenance
First Step

We would like to start with a short introduction call.

After that, we prefer to begin with a small technical test or pilot project before moving into larger client projects.

If the collaboration works well, we are open to a long-term partnership for multiple projects.

Kind regards,
Alejandro
Project Manager
Propest AI

Overview

We need a reliable freelancer to execute bulk email sends for a community organization (Rossmoor Life Council) using our fully configured AWS SES infrastructure. The system is already built and tested — your job is to run the send scripts, confirm delivery, and report results. We need the first send completed within 24 hours, with occasional repeat sends as needed going forward.

What's Already Done — You Don't Build Anything

AWS SES account, configuration set, and IAM credentials are configured

Python send scripts (ses_send.py, test_send.py, campaign_stats.py, parse_bounces.py) are written and tested

WordPress-based unsubscribe system is live and integrated

Bounce monitoring via AWS SQS is set up

Two successful campaigns already executed (4,700+ and 2,000+ recipients)

What You Will Do Each Campaign

Receive the HTML email file and recipient list (.xlsx) from us

Set up the Python virtual environment and AWS CLI profile (one-time, guided by our documentation)

Download the current unsubscribe list from our WordPress admin

Update the CONFIG section in ses_send.py (subject line, file paths)

Send a test email to a specified address for our approval

Run the bulk send script and monitor terminal until SEND COMPLETE

After 5–15 minutes, run campaign_stats.py and parse_bounces.py

Report back delivery stats (sent, bounces, opens, clicks) and the bounce CSV

Engagement Type

This is an as-needed contract. ***The first task is urgent (complete by Monday, May 18).*** Future sends will be occasional — estimated 1–4 times per month. We provide complete step-by-step written instructions. A short onboarding call is available if needed.

To Apply

Please describe your experience with AWS CLI and running Python scripts from the terminal. Mention any bulk email platforms you've worked with. If you've executed AWS SES sends before, tell us about it.

We need an experienced manual QA tester to execute functional testing against our operations management platform and deliver a structured bug report. This is a short sprint — we want maximum coverage in 24-48 hours.

About the App:
- Web app (Next.js) + Mobile app (React Native/Expo) + REST API (Express/PostgreSQL)
- Electrical contracting operations platform: jobs, time tracking, inventory, estimates, invoices, dispatch, fleet management, walkthroughs
- 6 user roles with granular permissions (SUPERUSER, ADMIN, MANAGER, LEAD_ELECTRICIAN, HELPER_ELECTRICIAN, WAREHOUSE_TECHNICIAN)

What You'll Test:
We have a detailed QA test plan document (1,200+ lines, 37 sections) with specific test cases, steps, and expected results. You'll execute as many test cases as possible, prioritizing:

1. Authentication and Role-Based Access — Login, logout, role hierarchy enforcement, navigation visibility per role
2. Jobs — CRUD, 16-status lifecycle, team assignment, detail tabs
3. Time Tracking — Clock in/out, lunch breaks, active session management
4. Labor Entries and Approval — Approval workflow (PENDING to APPROVED/REJECTED), bulk approve, financials accuracy
5. Inventory and Materials — Item CRUD, stock per location, material allocations, material requests
6. Estimates and Invoices — CRUD, status workflow, billing queue, pipeline views
7. Customer Management — CRUD, parent-child hierarchy, customer types
8. Fleet and Vehicles — Vehicle CRUD, crew assignment, inspections
9. Locations — Hierarchical locations (Warehouse to Zone to Bay), QR codes
10. PTO / Time-Off — Request/approve flow, balance tracking
11. Notifications — Real-time delivery, read/unread, preference management
12. Dispatch — Daily dispatch board, team assignments
13. Mobile App — Same features on React Native (clock in/out wizard, barcode scanning, material requests, voice dictation)

What You'll Deliver:
- Bug report spreadsheet with: severity (Critical/Major/Minor/Cosmetic), steps to reproduce, expected vs actual result, screenshots/recordings, browser/device info
- Brief summary of which test plan sections were covered and pass/fail rates
- Any UX issues or inconsistencies noticed

Environment:
- We'll provide test account credentials for each role
- Web app accessible via URL (hosted staging)
- Mobile app via TestFlight (iOS) or internal distribution (Android)
- QA test plan document provided on hire

Ideal Candidate:
- Experience with manual functional testing of web + mobile applications
- Familiar with role-based access testing (testing the same feature with different user roles)
- Can write clear, reproducible bug reports with screenshots
- Experience with operations/ERP/field-service software is a plus
- Available to start immediately and dedicate focused time over 24-48 hours

I need someone who can guide me teach me how to connect to MCP tools using VS code and also using some Development tools like Cursor/Claude/Open Ai i have some basic understanding but i need some one who can help me in everyday task the goal is to create Agents .

I am building a confidential B2B SaaS MVP for project planning, document intelligence, and risk-dashboard workflows.

The core analytical logic already exists. I need a full-stack AI/SaaS developer to build the product layer around it: login, dashboard, project creation flow, AI chat interface, CSV/XLSX upload, document upload, RAG/Q&A, role-based access, backend integration, and AWS-ready deployment.

This is a lean MVP for demos and early users. I am not looking to rebuild the core model or create a large enterprise platform. More details will be shared after NDA.

Target budget is $4,000–$7,500 fixed price. Preferred timeline is 4–8 weeks, with a first usable demo in 2–3 weeks.

Pre-Market Stock Scanner
for 5-Min EMA Strategy

Looking for a developer to build an automated pre-market scanner that identifies stocks in full EMA alignment across multiple timeframes — ready each morning before 9:30 AM ET.

Please check the attachment

I’m looking for an experienced developer in algorithmic trading (MT4/MT5/MQL5/Python) for a potential long-term collaboration. My goal is not to buy a “profitable bot”, but to build and validate a robust automated trading system with proper risk management and realistic expectations.
I’m interested in working with someone who can support the full process:
translating a strategy into precise rules
backtesting and validation
avoiding overfitting
implementation and optimization
forward testing (demo)
deployment on live accounts
maintenance and future improvements
Before discussing a project, I’d like to understand your methodology:
How do you validate strategies and reduce overfitting risk?
Do you use out-of-sample tests, walk-forward analysis, or Monte Carlo simulations?
Which performance metrics do you consider most important (drawdown, Sharpe ratio, profit factor, etc.)?
Can you share examples of previous work or explain your typical development process?
Do you deliver full source code and documentation?
What support do you offer after delivery?
If I provide a strategy idea, what would be your estimated process, timeline, and budget?
My priority is robustness, transparency, and long-term sustainability, rather than aggressive returns.
If our approaches align, I’d be interested in building a long-term working relationship.
Looking forward to hearing from you.

If you had to build a Forex system designed to survive 5+ years, what would you avoid and why?

Hi,
I’m looking for a long-term collaboration with an experienced algorithmic trading developer (MT4/MT5/Python) to build and validate an automated Forex strategy.
Before discussing development, I’d like to understand your process:
What is your approach to avoiding overfitting in backtesting?
Do you use out-of-sample testing or walk-forward analysis?
How do you evaluate risk (max drawdown, Sharpe ratio, profit factor, etc.)?
Can you share examples of previous projects, ideally with forward-testing results or verified live performance?
Do you deliver full source code and documentation?
What support do you provide after delivery?
If I already have a trading idea, can you estimate the cost and timeline for:
strategy specification
backtesting
implementation
demo testing
live deployment
My priority is robustness and risk management, not unrealistic returns.
Looking forward to hearing about your methodology.

We’re looking for an experienced developer to help improve and productionize an existing sports analytics platform tied to a paid Discord community (~1,400 members).

Current stack:

* Vercel
* Supabase
* Discord integrations
* Tails membership/payment integration

The platform is already functional and deployed. This is NOT a ground-up build. We already have:

* existing frontend/backend setup
* working model outputs
* Discord membership syncing
* deployed infrastructure

What we need help with is polishing, stabilizing, improving scalability, and preparing for a VIP launch.

Main priorities:

* UI/UX improvements
* Mobile-friendly frontend cleanup
* Automated data refresh pipelines
* Backend organization/scalability
* Performance optimization
* Authentication/member flow cleanup
* Hosting/security best practices
* Admin controls/dashboard improvements
* Production readiness for soft launch

Important:
We are NOT looking for:

* an overengineered enterprise rebuild
* a massive agency
* long-term dependency
* someone trying to completely replace the current stack unnecessarily

We ARE looking for:

* practical SaaS/startup experience
* experience with Vercel/Supabase/React ecosystems
* someone who can evaluate existing architecture and improve it efficiently
* strong communication
* realistic phased development approach

Nice to have:

* Discord API experience
* subscription/auth systems
* sports analytics or betting platform experience
* experience scaling MVP SaaS products

Please include:

1. Relevant projects/examples
2. Your thoughts on the current stack
3. What you would prioritize first
4. Ballpark estimate for:
* lean launch-ready phase
* more polished long-term version
5. Timeline estimate

Target soft launch: around 6/1.