I build systems that think. My focus is the practical implementation of AI — turning models and messy workflows into tools that are fast, reliable and genuinely useful. I care about efficiency: shaving friction out of every process until the work feels effortless.
I spend my time at the intersection of intelligence and execution — figuring out how to take the latest in AI and actually ship it. Whether it's automating the dull parts of a workflow or designing a system that scales cleanly, the goal is always the same: more signal, less friction.
What you'll find below is the path that got me here — hover any moment to see the detail.
Scroll down — the timeline travels right.
Taking models off the shelf and making them work in production — grounded, reliable and integrated where they matter.
Hunting down repetitive work and replacing it with something that runs itself. The best task is the one you never do again.
Designing for throughput and clarity — clean pipelines, measurable gains and fewer moving parts.
From idea to working thing, fast. Validate early, learn faster, and only polish what survives contact with reality.
The games on heavy rotation, set adrift on the lake. Click a game and the surface zooms in on it — click again to zoom back out.
Tap a game to zoom in — tap again to zoom back out
Got a workflow that should be faster, or an idea that needs AI to make it real? I'd love to hear about it.