Led design for 0→1 GenAI-powered developer tools spanning development creation, configuration, debugging, and monitoring, supporting performance optimization, AI runtime workflows, and platform analytics across the development lifecycle.

Drove end-to-end design from problem definition through execution, partnering with Product and Engineering to scope initiatives, influence roadmap decisions, and align stakeholders across teams.

Designed scalable interaction models and analytics experiences that increased developer efficiency by 30% and supported adoption across 8,000+ internal developers, improving system observability and day-to-day developer workflows.

Designed data analytics and observability experiences for AWS OpenSearch, focusing on complex data visualization and insight discovery at scale.

Created interactive dashboards and workflows that enabled customers to explore, monitor, and interpret large-scale datasets more effectively.

Collaborated with PM, Engineering, and Research to evolve core platform capabilities and improve usability for technical users.

Led the search and data visualization design team supporting networking and security platforms used across VMware business units.

Designed analytics, anomaly detection, and recommendation workflows that transformed complex system data into actionable insights for enterprise users.

Influenced platform-level UX patterns and mentored designers while partnering with engineering leadership on long-term product direction.

Lead designer for AI/ML driven applications within GE’s Oil & Gas division. Designed a network diagram platform used to troubleshoot systems and interpret ML model behavior- bridging complex data, AI outputs, and user workflows.

Worked closely with data scientists and engineers to integrate AI capabilities into enterprise data platforms.

Mentored designers, managed the design system and review process, collaborated with UX research to validate use cases, and partnered with Engineering on product implementation.