AI Refinement Workflow
Reframing AI refinement from regeneration to control: multi-level edits, targeted changes, and version comparison in one workflow.
100% task success in Maze testing
Currently pursuing a Master's in Human-Computer Interaction at Carnegie Mellon University.
Reframing AI refinement from regeneration to control: multi-level edits, targeted changes, and version comparison in one workflow.
100% task success in Maze testing
Redesigning the tutor profile experience to improve data reliability and make tutor information easier to manage, navigate, and maintain.
500+ tutor profiles supported

Building a mobile experience that helps people build healthier habits, identify issues earlier, and take action before problems escalate.
$1,000 startup funding secured
Redesigned and engineered AI-assisted authoring workflows that reduced manual effort and made tutoring content creation faster and easier to scale.
1.5× faster task completion