I’ve been heads-down for a while now, building, experimenting, and learning across a bunch of different directions. Most of what I’ve picked up lives in my head, scattered across half-finished repos and random quick-notes. This blog is where that changes.

The plan is simple. As I work, I write. Not polished tutorials or finished showcases, but honest documentation of what I’m building, what I’m learning, and where things break. Some posts will be technical deep dives. Some will be shorter reflections on process. I’ll mostly write about side and personal projects, though some of my relevant professional engineering work will make its way here too.

The central theme is building knowledge depth across multiple domains, incrementally and in public. I’m thinking of it as slow polymathy, more on that on the about page if it interests you.

What’s on the workbench right now:

• An FW-H acoustic solver, differentiable and GPU-native, for predicting flow-induced noise
• xSDF, a GPU-accelerated signed distance field generator that came out of needing much faster generation of level-set geometry representations on local compute
• Forking and extending JAXFLUIDS, trying to get it working on custom geometries
• Ongoing work using graph neural networks with CFD simulation data

Some of these are nearly done. Most are decidedly not. They’ll show up here as they progress, in whatever order makes sense at the time.

If any of that sounds interesting, stick around. First real post is coming soon.

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