Architected UX for scalable AI orchestration hub; defined IA, user flows, and delivered low to high-fidelity prototypes, enabling multi-model pipelines across 65,000+ slides and securing 4 vendor partnerships with 15 new model integrations.

Led UX discovery interviews, workflow mapping, and usability testing with 8 power users, driving a 24% reduction in usability issues across core workflows.

Translated user stories into a functional model that unified 4 platform modules into a collaborative data-visualization interface, reducing data-gathering time by 35%.

Implemented a scalable design system (tokens, modular components, interaction patterns) that cut visual debt 75% and trimmed design-to-dev cycle time 60% for three Agile squads.

Prototyped and launched an AI-powered slide imaging viewer with 30+ integrated features, cutting oncologists’ review time by 45% by redesigning IA and user flows.

Designed a slide calibration interface connecting hardware (slide-scanner) to diagnostic software through workflow analysis and rapid prototyping, achieving 95% accuracy validation in the clinical testing phase.

Led stakeholder workshops to implement ISO-compliant design standards and WCAG 2.1 accessibility requirements, driving successful regulatory audits and improving inclusivity.