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.
