Laboratory Information Management System
A system that runs medical diagnostic laboratories end to end — orders, samples, devices, results, billing, reporting. I work across the whole stack: the React operator console, the .NET back-end, the integration layer that talks to lab analyzers over HL7, serial, and TCP — plus the lab's public patient portal in Next.js. Real-time by design, built to survive real lab workflows.
.NET · React · Next.js · PostgreSQL · SignalR · HL7
professional focus
Medical-imaging AI
Deep-learning models for radiology — detection and segmentation on X-ray, ultrasound, and MRI — and the platform around them: a FastAPI service with a model registry, a human-in-the-loop annotation workflow, and a customized OHIF viewer that renders AI findings right in the DICOM viewport.
PyTorch · YOLO · FastAPI · OHIF
in development
Mobile health companion
A patient-facing app that brings medications, lab results, and health records into one place, with a dosing-schedule model that matches how prescriptions actually work. I build both sides — the React Native app and the NestJS API behind it.
Headed toward making sense of scattered health data as one picture.
React Native · Expo · NestJS · PostgreSQL
Company work is closed-source. My public repos are where I learn and tinker — honest snapshots of curiosity, not production systems.