Designed and built AI-assisted compliance workflows across policy editing, trust access, and onboarding. Created a policy editor that pairs rich editing with side-panel agent chat and visual diff review, helping teams safely draft and apply framework-aware changes. Shaped permissions, access requests, and agent-guided setup across the wider platform.
Designed the primary interface for following autonomous agents as they investigated production incidents. Defined the information architecture and interaction patterns for step-by-step execution traces—including research actions, queries, tool use, and outcomes—so engineers could inspect how agents reached a resolution.
Built real-time multiplayer demos and documented reusable interaction patterns for the developer community. Created Flow’s collaboration integration with live cursor presence and synchronized editing; the work became a PartyKit case study in edge-distributed collaborative experiences.
Independent practice exploring AI-native interfaces through OpenPoke, Honk, Open Paradigm, and Flow. Built working products across multi-agent email, coding-agent workspaces, AI spreadsheets, and collaborative writing to test new interaction models directly in code.
Graduating 2027
M.S. Computer Engineering · Human-Computer Interaction