Built RAG-based tool within LangGraph AI assistant (20+ tools) to deliver survey data insights, owning question-level insights while iterating on prompt structures to reduce hallucinations and token costs across two production releases
Extended AWS Bedrock integration to support multiple concurrent knowledge bases in TypeScript monorepo, allowing experimentation with different foundational models and chunking/embedding strategies
Delivered production features including beta feedback mechanism (React) and document sync safeguards (NestJS), reducing third-party integration failures and enabling data-driven product iteration
Developed and maintained front-end features (React) and back-end components (PHP, Java, Node) for the core web app and file preview experience, serving millions of daily active users