PROJECTS

Selected AI product work.

Research, interaction design, and prototypes for AI products. Each case study distinguishes my contribution from team engineering and identifies what has been evaluated.

START HERE / PUBLISHED + EVALUATED

Norman

A course-grounded teaching assistant. How can students judge an AI answer when a source label builds trust but does not let them verify it?

Key finding: Visible sources increased trust without enabling verification.

My contribution: UX research, interaction design, usability testing, and paper co-authorship in an RIT team.
Stage: Published team project. Initial version evaluated with 16 students; later design responses remain untested.

Read the case study →Try the sandbox demo ↗

Sandbox with precomputed answers, not a production deployment.

HI-FI PROTOTYPE / IN PROGRESS

Praxis

How can an at-home rehabilitation session make exercise instructions, camera setup, and recovery from interruptions clear for patients?

My contribution: Product and UX design: session flow, wireframes, and safety and accessibility decisions.
Stage: Interactive high-fidelity prototype ready, following user flows and wireframes. User testing and technical validation remain next steps.

Explore the case study →

EARLY UX WORK / IN PROGRESS

E-Val

How can practitioners interpret AI evaluation scores, inspect failed test cases, and compare configurations without treating a score as proof of quality?

My contribution: UX and product design: workflow review and framing the comparison experience.
Stage: Early interface reviewed; comparison design in progress. No formal user research or usability validation yet.

Read the project brief →