I build the systems revenue and operations run on, and the AI inside them.
Two skill stacks that don’t often overlap.
AI teams often hire engineers who have never owned a CRM pipeline or a billing reconciliation. Operations teams often hire generalists who have never shipped an evaluated agent system into production.
I sit between those lanes. Ten-plus years owning the systems that move work from a new lead to a paid invoice is the base layer: most recently as Head of Technology at Real News Public Relations, sole technical owner across six SaaS platforms and eight-plus production systems since 2018. Internal tools, applied AI, eval harnesses, and human review are the newer layer on top.
Those ten years were at a family-owned PR firm here in Dallas, where I’m still Head of Technology. Small company, no other engineers. When billing broke or a show didn’t air, it was mine to fix, and the people affected sat down the hall. I like that kind of ownership, and I like building tools the people around me actually use.
Selected systems
Live demos
Two proofs you can open without a login: Q2See from the business-systems lane, Tracewell from applied AI. Each runs a real server over synthetic sample data; if one is down, the one-pager beside it covers the same ground. The other five are at the demo index.


Recent work
Architecture writing
How I work
Hiring for this kind of work?
Always glad to compare notes with people building applied-AI workflows, internal tools, and the business systems they run on. If you’re hiring for that work, email me. I read everything and reply within a day.
Recruiters and hiring managers: hiring details has role fit, level, comp target, location, and start date on one screen.