I will build ai agents and rag pipelines with langchain and fastapi

R
raj_shekhar2220
R
raj_shekhar2220
Raj Shekhar

About this gig

I build AI systems that actually run in production not notebooks and demos that break the first time a real user touches them.

What I build:

RAG chatbots trained on your documents, PDFs, or knowledge base

AI agents handling multi-step workflows with tool use (LangGraph)

FastAPI backends with OpenAI, Gemini, or Claude integration

Full-stack AI apps React frontend, Python backend, deployed and live

My stack: Python, FastAPI, LangChain/LangGraph, React, TypeScript, Weaviate, ChromaDB, PostgreSQL, MongoDB, Docker, GCP.

Recent work: a 7-microservice cloud browser-automation platform, a B2B lead-scoring pipeline processing company data at scale, and an offline Android LLM assistant running entirely on-device.

Why buyers pick me:

Clean, documented code you or your team can maintain

Retrieval that surfaces the right context not vector search returning garbage

Clear updates, no silence for days

Full source code with every package

Not a fit for: fine-tuning models from scratch, or "build me the next ChatGPT" for $50.

Message me before ordering with what you're building and what data you have. I'll tell you honestly if it's doable in your budget.

Get to know Raj Shekhar

Raj Shekhar

Full Stack AI Developer

  • FromIndia
  • Member sinceFeb 2025
  • Languages

    English, Hindi
Full-stack AI developer building production LLM systems, not demos. Python/FastAPI, React/TypeScript, LangGraph agents, RAG pipelines on Weaviate and ChromaDB, deployed with Docker on GCP. Recent builds: a 7-microservice browser-automation platform, a B2B lead-scoring pipeline, and an offline Android LLM assistant. You get clean architecture and clear communication.

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