AI EngineeringFull Stack
RAG Assistant
A retrieval-augmented generation assistant for legal document Q&A.
RoleLead Engineer
OrganizationAutonomous / Client
TimelineSep 2025
DisciplineAI Engineering, Full Stack
Stack:PythonLangChainOpenAIpgvectorFastAPI
Technical Architecture Note
Built a production RAG system that handles 10K+ legal documents with 95% answer accuracy.