Evaluating AI Handwriting for Product Readiness
Clarified whether handwriting breakdowns pointed to model behavior, sensor reliability, protocol gaps, or interaction design needs.
A closer look at research systems, product ambiguity, accessibility infrastructure, and human-AI evaluation across complex product contexts.
Clarified whether handwriting breakdowns pointed to model behavior, sensor reliability, protocol gaps, or interaction design needs.
Mapped where Blind and low-vision (BLV) users lost access during live Zoom presentations and translated those breakdowns into product opportunities.

Built a verified participant pipeline for Deaf and Hard-of-Hearing (DHH) accessibility research, with eligibility and ASL access confirmed before sessions ran.

Translated simulator behavior and concept feedback into product requirements for clearer, lower-workload AR navigation overlays.

Audited a draft survey on AI adoption in UX question by question, identifying assumptions before any responses were collected.
