I do a bunch of
different things.

I'm an ML and platform engineer, which on a good day means two jobs at once. One is getting machine learning models that read the earth's subsurface out of the notebook and into production. The other is building the data platform the rest of the company stands on: the landing zones, the architecture, the boring foundations that make everything above them possible.

Before this I built real-time odds-prediction systems and spent a good while on cloud architecture at scale. On the side I ship and run my own products, SortedOut and Rinqer, and I'm building a personal AI coach from scratch to see how far I can push it.

I don't really think of myself as a writer. This is just where I keep what I learn so I don't have to learn it twice: the problems worth coming back to, and what they taught me. If any of it is useful to you, even better.