Own end-to-end features integrating LLMs into clinician workflows: build prompt/RAG pipelines, connect AI outputs to frontend and middleware, implement secure Supabase/Postgres APIs and real-time validation/flagging, iterate with customers, and design scalable, compliant product architecture.

Owner of core UI features and end-to-end product surfaces: build chart review dashboards, AI audit agents, and clinic reporting; integrate backend/AI outputs; drive usability, accessibility, customer demos, and define engineering/design culture.