Case Study

2025 - 2026

I worked with engineering leads to build a structured design QA process, which cut UI discrepancies in UAT by about 20 percent. I led the UX strategy for AI-driven feedback loops, and the interaction patterns we designed raised session completion 15 percent in early testing. Bringing AI asset generation tools into the production pipeline cut routine asset creation time by 12 hours a sprint, and weekly design reviews plus AI-assisted QA sessions brought post-launch UI defects down 35 percent. I also reworked navigation flows from educator beta feedback to improve task success rates, and kept design and engineering aligned through Slack, Jira, and Figma so sprints shipped on time.

By The Numbers

20%

Fewer UI dicrepansies

15%

faster session completion

12 Hrs

Saved per sprint

35%

less post launch defects

Design SystemsBrand IdentityAI WorkflowsInteraction DesignUser ResearchPrototypingUX DesignProduct StrategyDesign SystemsBrand IdentityAI WorkflowsInteraction DesignUser ResearchPrototypingUX DesignProduct Strategy