I build AI tools for Microsoft finance that people actually use. Builder on the Source-to-Pay team, AI adoption lead for all of Finance Operations.
Microsoft’s ~$350M partner incentives program relied on manual review to catch bad payouts. Reviews were slow, sampled, and happened after the money moved.
Suspect payouts weren’t random. They followed patterns a system could flag before the money moved. Nobody had scoped what that system needed to be.
Scoped the requirements, developed an anomaly detection system, and presented the results to senior leadership.
$28M in payouts protected. Leadership adopted the approach and it transitioned to engineering for enterprise-wide implementation.
I ship AI and automation tools for Microsoft's Source-to-Pay team, part of Finance Operations. The building earned me a second hat: AI adoption lead for the whole division. When a GM wants to know what AI can actually do for their team, I'm the one they call.
I got here through supply chain, where I learned to find the friction in a system and build the thing that removes it. That instinct doesn't switch off after work. I recently built a SwiftUI iOS app with a private, on-device AI workout tracker, now in App Store review. When I'm not building, I'm in the mountains. The photo is Blanca Lake.
Anomaly detection that protected $28M. A $20M bid analysis tool. An AI email assistant saving 1,700+ hours a year. An iOS app on the side.
#1 Copilot adoption across Microsoft FinOps. Internal hackathons, GM demos, and workshops that lifted AI confidence 60%.
University of Tennessee · BSBA Supply Chain, Stats Minor · 3.95 GPA · President, CSCMP
Before Microsoft: production scheduling in SAP at Colgate-Palmolive, indirect procurement at Sunovion Pharmaceuticals, and merchandising at Fortnum & Mason in London via the Smith Global Leadership Scholars program. Plus a stint in analytics at Reviewbox, an early-stage startup later acquired by Talkwalker.
Recruiting, collaborating, or comparing notes on AI in operations? Email me.