AI Project
AI-Powered RAG SaaS Platform
Full-stack RAG (Retrieval-Augmented Generation) application that lets users upload documents and chat with their data using LLMs. Features vector embeddings, semantic search, and conversational AI with citation-backed responses.
Impact
End-to-end GenAI product from embedding to conversational UI
Focus Areas
AI product design, orchestration, and production workflow quality.
Technology Stack
PythonLangChainOpenAIVector DBSvelteKitTypeScript
Why It Matters
This project represents the kind of work I optimize for: concrete technical depth, clear product impact, and systems that hold up under real operational constraints.