I design search, discovery, and AI product systems for complex marketplaces.

Role: Lead product designer

Scope: iOS, Android, desktop web, and mobile web

Restructured filter hierarchy, applied states, and make-model selection into a cross-platform baseline that could be validated and extended.

Evidence: Shipped redesign, user validation, rollout across core buyer surfaces, confidential conversion impact

Outcome: Improved how buyers express intent across core search surfaces; exact conversion metrics stay confidential.

Role: Product design lead and UX program partner

Scope: Desktop web, mobile web, iOS, and Android

Clarified hierarchy, reduced visual noise, and helped align platform-specific tradeoffs around what belongs on the browsing surface.

Evidence: Shipped redesign, experiment-backed outcome category, confidential lead impact

Outcome: Improved buyer comparison and lead behavior on high-traffic listing surfaces; exact test results stay confidential.

Role: AI Design Lead

Scope: AI design standards, early product direction, and UX capability building

The framework helped teams expose system limits, protect user agency, and test AI patterns before committing to product direction.

Evidence: Internal framework, team enablement, prototypes, and early product direction

Outcome: Gave teams reusable standards for AI disclosure, control, review, and confidence before scaling AI patterns into product work.

Role: UX definition lead

Scope: Desktop and mobile web

Led UX definition for acquisition, configuration, checkout, lifecycle management, and executive client alignment.

Evidence: Concept system, testable flows, and executive alignment

Outcome: Turned a new service model into testable journeys that helped teams align on acquisition, checkout, and lifecycle scope.