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Case Studies

Real projects showing how I think about AI feature development. The focus is on failure handling, user experience, and what it takes to go from demo to production.

  • RAG Support Assistant

    A customer support RAG pipeline built around what happens when the AI can't answer confidently. The design goal isn't maximum retrieval accuracy. It's making sure every failure mode has a specific, intentional response path. Five-category classification, confidence gates, self-critique, and human escalation routing. Built with OpenAI, ChromaDB, FastAPI, and a custom chat widget.