AI Agent Engineering
Led UX for Informatica's first agentic AI platform, 0→1 — defined the interaction model and authored CHESS, the framework the team built on. Launched at the IW 2025 CEO and CPO keynotes.
Read the full case study →Each product led to the next — and I was trusted to lead each one.
Led UX for Informatica's first agentic AI platform, 0→1 — defined the interaction model and authored CHESS, the framework the team built on. Launched at the IW 2025 CEO and CPO keynotes.
Read the full case study →One of Informatica's first explorations of building integration entirely from an IDE — no canvas. The hard part moved from drawing a pipeline to trusting one you can't see. I led the interaction model for that trust.
Read the full case study →The canvas redesign was visible. The operating model was the real product — a tiered model I pitched to leadership that took subscriptions from 38,000 to 91,200 in 11 months.
Before charging customers, I needed to know what they'd actually pay for. A $100 forced-allocation test with 31 enterprise customers defined the paid tier — and turned a free product into recurring revenue.
Designed a new ML interaction model for enterprise maintenance planning — adopted in SAP S/4HANA Cloud, and later granted U.S. Patent 210852US01.
Enterprise AI, platforms, and systems design.