Turning probabilistic AI into deterministic outcomes.
VP of Engineering · GenAI Architect · Founding CTO
I help companies build AI-native systems that actually work in production, and help engineering leaders design the teams, processes, and governance that turn probabilistic AI into deterministic business outcomes.
I've spent 20+ years at the frontier of large-scale distributed systems — building the infrastructure that moves money at Mastercard, connects millions of IoT devices at Cisco, and now powers the next generation of AI-native applications.
At Mastercard, I served as VP of Engineering and directed the company's GenAI strategy — defining LLM-powered agentic workflows, shaping data governance for secure AI integration, and delivering the event-driven streaming platform underpinning Mastercard's real-time clearing services. Zero production incidents at launch. Millions of daily transactions.
Before that, I was recruited as founding CTO of Sunsea AIoT — scaling the organization from 0 to 75 engineers in nine months, launching a device-edge-cloud physical AI product suite, and winning Product Innovation of the Year.
I hold a PhD in Computer & Electrical Engineering, a U.S. patent in event-driven systems, and have published 10+ peer-reviewed papers in IEEE and ACM journals.
I design and build production-grade AI applications using LLMs, agentic workflows, and modern AI infrastructure. Not demos — systems that handle real load, maintain data governance, and deliver measurable outcomes.
I help engineering leaders design the operating models, processes, and measurement systems for teams that include AI agents. The core challenge: converting probabilistic AI outputs into deterministic, accountable business outcomes.
I coach software engineers, engineering managers, and technical PMs on deliberate career growth during the AI transition — using a Mindset · Skillset · Toolset framework built from 20+ years of leading and building technical organizations.
Whether you need an AI engineering partner, a fractional CTO, or a thinking partner for your next career move — I'd like to hear from you.