Building scalable clinical platforms in Next.js and Django. Three years shipping production code for Accountable Care Organizations and hospital systems managing hundreds of thousands of patient lives.
I specialize in the architecture and performance of data-heavy clinical applications. Beyond rendering 100,000+ member rows via progressive batch loading and TanStack Query, I own the orchestration layer between the client and the database. By leveraging Next.js API routes as a transformation layer (BFF), I keep our underlying Django APIs clean and agnostic while delivering highly performant, custom-tailored data to complex React frontends.
My background as a Doctor of Physical Therapy is my anchor for product intuition. It allows me to look at a data model and immediately understand its clinical implications. Whether I am defining functional mobility rules for machine-learning decision support modules or tracking down data gaps caused by inconsistent hospital coding in HL7 feeds, I act as the definitive bridge between strict engineering constraints and messy clinical realities.
18 years. Professional circuit 2014–2018. The same obsessive attention to systems goes into tournament prep.
Building an HTTP job queue system in Go using only the standard library — focused on concurrency primitives and lower-level systems concepts. Planning an Arch Linux build next.