Curiosity is the
through line.

At Intel’s Neuromorphic Computing Lab, part of the Office of the CTO, my work spans AI engineering, language-model training, reproducible experimentation, and the software that connects research to hardware.

Before that, I worked on Java performance, cloud orchestration, and open-source networking. Different layers of the stack; the same interest in understanding what happens beneath the surface.

Build it. Then question it.

My independent projects explore agent organizations, evolutionary code optimization, and better tools for learning. I’m interested in what happens after the impressive demo: the evaluation, the failed experiment, the recovery path, and the evidence that an improvement is real.

I architect and develop these projects using coding agents. My hands-on programming foundation is Python, C/C++, Java, and Go. My Rust, TypeScript, and Elixir work is primarily agent-assisted.

A notebook, not a finished argument.

This site is a place for the work and the thinking around it. Project notes explain the question, the approach, and the limits. The writing leaves room for uncertainty and for changing my mind.

If you’re working on something adjacent, I’d like to compare notes.