Tired of AI prototypes that fall apart in production? I build multi-agent AI pipelines and backend systems that actually ship: reliable, secure, and fast enough for real users.
Here's what I've delivered:
- 80%+ reduction in manual SQL query-writing by building NL2SQL, an 8-agent Text-to-SQL pipeline (LangGraph, GPT-4o, Gemini) handling 200+ database schemas with built-in security and explainability
- 90% answer accuracy with DocForge, a 4-agent RAG system featuring automatic hallucination detection that reduced bad answers by 60%
- 422x faster responses (2s down to 4.7ms) through Redis caching and async pipeline architecture- 40% fewer UI glitches at Revolving Games by overhauling React state management with Redux Toolkit
What I typically deliver for clients:
AI agent systems, RAG pipelines, Text-to-SQL tools, LLM-powered backends, FastAPI microservices, and full-stack features (React + Express.js). I also have enterprise experience building financial stress-testing modules (BASEL framework) and managing production infrastructure at Techlogix.
My stack: Python, LangGraph, LangChain, FastAPI, Redis, Pinecone, React, Express.js, Docker, ASP.NET Core, GPT-4o, Gemini.
Have a project in mind?