Software engineer cum neural network wrangler.

Technical interests include systems engineering, distributed compute, physical simulation, and applied machine learning infrastructure.

Projects

• swactor Toolkit for orchestrating somewhat-unreliable heterogeneous GPU nodes over WAN links.
• AirfRANS / neural CFD surrogate Machine learning as simulation: neural CFD surrogates, model scaling, and solver-grounded validation.
• cstat and yoke Code as data: statistical structure, LLM coding behavior, and agent harnesses.

If any of these interest you, please contact me. I love to talk shop.