Most recently: a universal cloud cashless solution for unattended retail, built from zero. Full-stack, from hardware and firmware to unit economics. I owned the customer jobs, the architecture, the UX and the delivery, and customers tell us it’s easier to use than the tools they had before. I negotiated European payment-processing partnerships (Rapyd among them) from first contact to signed contracts, and took the global business to its first profitable full operating year.
That AI-native operating model runs through all of it. Over the last year I led the AI transformation in-house: a dedicated internal tooling team, and processes rebuilt around AI agents. Then I ran the same playbook for outside companies. One client's own quarterly review reported 4× AI-tool adoption at ~90% active use and 40–60% time savings.
Across 17 years in industrials, chemicals, banking, process automation and payments, I’ve learned where I’m strongest as a product leader: the ambiguous, high-stakes, 0-to-1 bets. One strength here is DISC-verified rather than self-reported: I stay fully effective running several tracks at once, under uncertainty and stress. I’m engineer-literate enough to write a spec a team can build without a meeting, and conventions plus AI agents hold the whole company, myself included, to that bar. I care about the P&L as much as the design.