Story
I’ve spent my career in healthcare data, most recently managing client data implementations: getting a client’s data in, validated, and into a state the rest of the business can build on.
Along the way I stopped just planning the work and started building for it. When a process is manual, repetitive, or fragile, my instinct is to fix the system rather than work around it. That’s turned into data pipelines, internal tools, and AI-enabled systems, held to the same standard I hold implementations to: traceable, verifiable, and honest about their limits.
The code lives on the Builds page. The write-ups on how and why live under Work.