10:1 ROI at my current company. $5M/month in added revenue at the last one. Turns out applying computer science logic to marketing strategy isn't just clever, it's profitable.
The only marketing leader you'll meet with a CS degree, a Top Secret clearance, a White House appointment, and an MBA from Johns Hopkins. Who also lived in a van and on a sailboat.
I build marketing departments that print money. Every campaign gets measured, every dollar gets tracked, and every decision gets pressure-tested with data before it goes live.
The difference is a full BS in Computer Science from the University of Kentucky, plus an MBA from Johns Hopkins with concentrations in AI for Business, Entrepreneurial Marketing, and Executive Leadership. I apply the same algorithmic thinking to a go-to-market strategy that I once applied to cruise missile software, so an A/B test is a controlled experiment with statistical rigor instead of a gut feeling.
When other marketing leaders say "we need a tool for that," I open my code editor and build it over the weekend, and one time that saved $100K. When the analytics don't exist yet, I build the pipeline. That is not a marketer who picked up some tech along the way, it is an engineer who learned where the real leverage is.
Software already has a name for this arrangement. Palantir called it forward deployed: put the engineer inside the customer instead of back at headquarters, because the last mile is an engineering problem and nobody solves it from a conference call. Every AI company hires for it now. Almost nobody has pointed it at growth, which is exactly what I built Hunt & Machine to do.
Every stop taught the same lesson from a different angle: find the leverage, build the system, measure everything.
Built the data platforms that tracked how $831 billion in stimulus was spent. Presented data visualizations to the Vice President. Not a bad Tuesday at the office.
All 50 states in a solar-powered mobile office I built myself. Conference calls from national parks, debugging at rest stops.
Three years on a sailboat at Gangplank Marina. Neighbors were lobbyists and diplomats; the front yard was the Potomac.
Bayesian networks research, published and presented at national AI conferences, before finishing undergrad. Read the paper →
Pure physics, rhythm, and the knowledge that if you stop pulling, everybody sinks. The engineer's sport.
The state's highest honor, plus a charity founded and run in Tulsa. The community you build is the legacy you leave. My mama raised me right.
Fractional leadership, marketing-department builds, analytics pipelines, and AI operating systems, from someone who's shipped all four.