Lead full‑stack engineering projects across frontend and backend, design system architecture, collaborate with ML researchers and clinicians, implement user‑facing features, define APIs, write tests (unit/integration/e2e), produce technical specs, and use cloud infrastructure and CI to ship iteratively.

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.