Twenty-six years at Microsoft, a $1M+ ARR business built and wound down solo, and real AI systems shipping today. Three different chapters, each building a distinct capability. Together they add up to an operator who speaks both engineer and C-suite, and can navigate the stack top to bottom.
Align to the mission, define the plan, break it down, prioritize, execute, inspect, adapt, communicate.
26 years across Xbox, HoloLens, and Windows Hello. That span built technical depth and the delivery leadership to ship complex things across many teams.
Built and ran a $1M+ ARR service business solo, owning the full P&L, strategy, and real stakes. The job forced a shift from tracking output to proving outcomes.
A deliberate return to building, shipping real AI systems and wiring AI into how an organization actually operates.
Selected work
A tight set of case studies, tagged by the competency each one demonstrates. Every piece leads with outcomes, and the technical ones go deeper on architecture underneath.
Technical systems at scale
Windows Hello reported 99% success while users were failing to log in. I invented the metric that told the truth, then used it to drive real success from ~65% to over 90%.
Integrity under personal cost
Tasked with building headcount-reduction scenarios for my own org, an honest read of what the new direction actually needed pointed at one function: mine. I recommended cutting it, then let a canceled backup plan and a false-start job search show me what I actually wanted next.
Quality engineered into every step
Growth metrics hid a $150K revenue leak until a gross-retention number told the truth. The fix was a new accountability role, filled by moving an operations manager into the growth seat he'd already earned, without adding headcount. Retention 65%→85%, quality 80%→95%, cash-flow-neutral.
Leverage without a title
When a struggling franchise system got a new CEO after three years of stagnation, I had no formal authority over him, just a board seat and forty percent of the system behind me. I used it before he asked, and the working relationship we built outlasted my own exit from the business.
Leadership under real stakes
A business that had quietly stopped fitting its market forced the hardest call I've ever made. Keep digging or shut it down. A four-priority framework decided it in advance; an orderly wind-down honored every obligation it could.
AI-native planning & judgment
This is how I think about the planning and rhythm-of-business problem, built AI-native: an agent runs the review cadence, I keep the judgment call. It caught a week that looked like 90% mission-aligned success, when 85% of that was actually defensive work.
AI-native pipeline engineering
An AI-driven job application pipeline: discovery, fit screening, resume and cover letter generation, tracking, engineered so my time goes to judgment. The bank matches and aligns my own verified experience to a job, always drawn from what I actually did.