Transforming enterprise complexity into
decisions that move at scale.
I build systems that don't exist yet — and then make them run at enterprise scale. Over the past decade at Walmart, I've moved from architecting fraud detection across 2 billion transactions, to turning around an $8B returns operation, to now directing AI deployment for Health & Wellness across 1,300 daily users. Each chapter different. The thread: bringing rigorous structure to genuinely ambiguous problems.
What drives me isn't the technology — it's the moment an organization actually changes because of what you built. A dashboard that a VP trusts implicitly. A model that catches what humans couldn't see. A team that ships things they didn't think were possible six months ago. I hold an IEEE Senior Membership, publish research, and speak on generative AI — not for the credential, but because explaining hard ideas clearly is part of doing the work well.
Directing AI enablement across Health & Wellness — building LLM-powered tools now used by 1,300+ store associates daily. Architected a privacy-protected data service for sensitive health data. Managing governance across 1,200+ tables and leading a 13-person team across three technical tracks: AI, data governance, and privacy protection.
Executed a full modernization of an $8B analytics operation — 25% faster processing, 10% accuracy improvement, 40% operational efficiency gains. Built the enterprise analytics platform that scaled the entire architecture.
Built fraud detection across 3B+ transactions. Led global anti-corruption analytics across 22 countries. Engineered the compliance and risk platforms that would define the next decade of enterprise data at Walmart.