I will build a rag system, ai chatbot or ml API using python and fastapi

Are you building an AI-powered product but stuck on the backend?

I build production-ready RAG systems, AI chatbots and ML APIs using Python and FastAPI not just notebooks, but real systems your app can call.

I've built two real systems you can see right now on my GitHub:

1. An AI interview evaluator using pgvector, semantic scoring and LLaMA 3 via a clean FastAPI backend
2. A skill gap predictor with a complete ML pipeline raw data to trained Sklearn model to deployed API with confidence scores

Both projects are fully documented with clean code you can read and understand.

What I can build for you:

1. RAG systems that answer questions from your own documents or database
2. AI chatbots powered by LLaMA, Groq or other open-source LLMs
3. ML models trained on your data and deployed as REST APIs
4. FastAPI backends with input validation, error handling and Swagger docs
5. Vector search systems using pgvector
6. Complete ML pipelines from raw data to production API

Every order includes clean documented code, a working Swagger UI, a README and full source code ownership.

Message me before ordering - tell me what you need and I'll tell you honestly if I can deliver it.