Built an end-to-end workflow with React/TypeScript UI and Python FastAPI services, reducing a 20–30 minute manual process to 2–3 minutes by streamlining UI steps and backend automation.
Designed versioned REST APIs in FastAPI with Pydantic schema validation and consistent error responses, reducing user-reported issues by 20% through tighter edge-case handling.
Implemented retrieval-backed generation using embeddings + vector search and structured JSON outputs, making results reliably renderable in the UI and improving engagement by 40%.
Built a grounded agent workflow with LangChain/LangGraph that composes user context and tool outputs with safe fallbacks, increasing automated task success by 35%.
Improved production reliability with Docker and CI/CD (GitHub Actions/Jenkins) plus integration tests and release checks, reducing production issues by 85% and improving release cadence by 30%.
Ran stakeholder demos and walkthroughs, wrote API and workflow documentation, and translated feedback into weekly releases and fixes.