About

I’m an applied AI engineer based in the Greater Chicago Area. I build production AI systems — the kind that handle real users, real scale, and real failure modes.

Most of my recent work has been in agentic AI: systems where models don’t just answer questions but take actions, coordinate across tools, and operate autonomously within defined boundaries. Before that became a common pattern, I was building it.

The project I’m most known for is PIXEL — a generative AI interviewing platform I designed and built from scratch. It was acquired and scaled to over 1,000 staffing agencies and 25,000 users across North America. I stayed on post-acquisition to keep building it, which meant three years of continuous production operation and migrating through every major Claude release as the models improved.

My background spans 15+ years: Motorola, Grainger, defense and intelligence platforms at Two Six Technologies, and a handful of early-stage startups. I’ve worked across the full stack, but I’ve spent the last several years focused almost entirely on what happens when you put LLMs into production and need them to actually work.

This blog is where I write about the engineering side of that — workflows, tools, patterns, and the things I wish had been written down when I was figuring them out.

I’m currently Head of AI at TalentFish, doing consulting and product work in applied AI. If you want to talk, reach me at [email protected].