Lead design, development, and productionization of ML and LLM systems for patient- and provider-facing healthcare products. Own end-to-end workflows: problem scoping, data, modeling, evaluation, deployment, monitoring, and clinical guardrails. Build evaluation frameworks, infrastructure, and tooling; partner with clinicians and product; mentor engineers and set technical direction to deliver safe, impactful AI features for clinical care.

Lead full-stack development on a React Native frontend and FastAPI Python backend for an AI-driven healthcare product. Design APIs, ship user-facing features, drive architecture, write tests, collaborate with ML researchers and clinicians, and deliver scalable, reliable production systems.