I'm Matt Kindy, an engineer in Austin, TX, and the founder of NimbusAI. Most of my work is developer tooling and static analysis, with some ML and the occasional map. Projects drawn to scale below.
Figs. 1–4 Selected projects
Reads your code and writes down what it does on every path, from the request or message that comes in to the table or queue it touches. Then it checks each boundary against the clients, specs, and infrastructure on the other side. TypeScript, Python, and Ruby. No model in it.
A map of Seattle where the distance between two places is how long it takes to get there. Three versions: driving at the speed limits, driving in Friday evening traffic, and transit on a weekday morning, with a slider that morphs the city between its geography and each one.
Can you predict the NCAA tournament better than picking the higher seed every time? Two models trained on six tournaments estimate each matchup, then the whole 2026 bracket gets simulated 50,000 times to turn those estimates into title odds for all 64 teams.
Fantasy football analysis built on a graph of players, coaches, teams, and games, with every relationship dated so it can be backtested against past seasons. It started as a draft board and grew into a play-by-play simulator, a start/sit tool, and a waiver page, all on a static site that polls a live Sleeper draft.