Frame the system
Map the people, constraints, and decision moments before choosing the interface shape.
Senior Product Designer — Enterprise AI & Complex Systems
I architect multi-agent AI workflows, predictive decision-support systems, and enterprise platforms—transforming deep operational ambiguity into high-trust digital experiences.
Selected case studies
Four flagship projects selected for complex systems thinking, human-AI interaction design, working code prototypes, and measurable business impact.
Co-developed an enterprise decision tool in direct partnership with Google, empowering US supply chain planners to simulate logistics and establishing the foundation for predictive AI modeling.
Led UX strategy and functional code prototype for an AI negotiation engine, designing predictive buyer intelligence, scenario controls, and trust-first explainability for commercial teams.
Self-initiated a multi-agent AI workflow POC that slashed localized content creation from 2–3 weeks to under 15 minutes, securing executive validation and funding for global enterprise rollout.
Redesigned a dense agency-led analytics screen into a cleaner enterprise direction with stronger hierarchy, opportunity levers, and suite alignment.
How I work
The pattern across the work is simple: frame the system, prototype the behavior, and make the decision path easier for teams to trust.
Map the people, constraints, and decision moments before choosing the interface shape.
Use working prototypes when static screens are not enough to test logic, flow, or trust.
Turn feedback into product choices, tradeoffs, and artifacts teams can actually move with.