Systems. AI. Products.

I didn't start technical. A real team had real problems and someone had to build the fix, so spreadsheets became scripts and scripts became systems. Now I build the data systems teams run on: quiet, predictable, and considered enough to trust.

I didn't start technical. I started behind a camera, and I became technical the way most useful skills get earned: a real team had real problems and someone had to build the fix. Spreadsheets became scripts, scripts became systems, and eventually I was the one designing the infrastructure everyone else worked on top of. Today that is a service I offer outright: data solutions and custom data builds for teams that need one source of truth instead of a pile of tools.

Two convictions run through everything I build. Systems should work: quietly, predictably, without a human babysitting them. And software should feel considered: clean UX is not decoration, it is what makes people trust a tool enough to live in it. The three systems below are that philosophy in production.