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.
One shipped system. One applied-AI system. Then contact.
Meter shows the billing path in production. CoHost shows the quality gates around applied AI.
Selected systems
Open source
Most of this work was private until August 2026, when I released two dozen repositories, prepared one at a time. The six below are the place to start. Each card links the file worth reading first.
Want proof you can click before you clone? Seven live demos run real backends over synthetic data, no login. The proof page tracks all of it.
Recent work
Continue for more context Architecture writing and how I 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.
More ways to reach me
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