AI-native design for high-stakes, mission critical systems.

My mental model for systems comes from biology: mapping human metabolic pathways, and studying how interconnected networks adapt under stress. That foundation shaped how I think about design.

Over 12 years I've applied it across some of the hardest problems in enterprise and government: multi-modal conversational interfaces built on federated LLMs, end-to-end IoT connectivity for commercial and government audiences, e-commerce platforms driving $50M in quarterly revenue, and usability research on laboratory systems deployed across Mauritius, Côte d'Ivoire, and Vietnam. The domain changes. The underlying problem doesn't: designing for complexity, consequence, and tradeoffs that don't resolve cleanly.

Today I design AI-native experiences where human judgment and machine intelligence have to work together under real constraints. At the lead level that means setting design direction, building research-informed product decisions, and developing designers from junior to senior, grounded in an MS in Human Centered Design & Engineering from the University of Washington. I'm particularly drawn to 0 to 1 problems where the right interaction patterns don't yet exist.