Led product design for an enterprise AutoML platform, focusing on making complex AI and machine learning workflows accessible to both technical and non-technical users.
• Established and evolved the enterprise design system, defining reusable interaction patterns and components to support consistency across multiple analytics products.
• Redesigned end-to-end AI-driven analytics workflows by restructuring multi-step configuration flows and clarifying dependencies across datasets, features, and model parameters, reducing model configuration time by 50% (10 → 5 min).
• Designed interfaces that surfaced complex ML processes, reducing user errors and enabling faster diagnosis of model performance issues.
• Partnered with engineering and data science teams to translate backend ML pipelines into scalable UX patterns, aligning on system architecture and validating decisions through usability testing to deliver mission-critical features across 7 industries.
