Selected Work
Each piece below was a chance to design for clarity at scale — whether that meant governance, configuration, or the systems holding it all together.
Turning fragmented usage reports into clearer analytics surfaces for users, teams, and admins managing AI adoption at scale.
Helping enterprise admins configure, test, and manage AI models using their own provider accounts.
Creating a shared component foundation and live Storybook documentation to improve consistency, speed, and handoff across Tabnine’s product surfaces.
Reshaping an early MVP tablet controller into a clearer, field-ready experience for irrigation technicians and operators — grounded in usability testing before launch.
