I'm a junior at Berkeley studying Cognitive Science + Data Science. I build products at the intersection of AI, data, and human behavior. Currently at Lennox International as a PM Intern (Allied Team, Summer 2026).
Diabetes management is reactive. CGM devices surface raw data but not actionable guidance.
Integrated biosensors with predictive AI. Led vision, worked with engineers on 92% accuracy model. Designed Figma mockups mapping user journeys.
Navigation apps don't account for accessibility. Wheelchair users face broken sidewalks and missing curb cuts.
AI route scoring using crowdsourced data and computer vision. User research with mobility-impaired communities.
Podcasts are locked to their original language. Existing translation isn't built for audio-first real-time consumption.
Real-time translation layer using NLP transcription, neural MT, and voice synthesis. Latency-aware mode switching. Full PRD for ML team.
Traditional controllers exclude students with motor disabilities from educational games.
Hand-gesture controller using Python, OpenCV, MediaPipe. Evaluated with schools, tunable per motor profile.
Patients with neurological conditions can't self-monitor speech deterioration between infrequent visits.
UX research with affected patients, full PRD with adaptive UI states based on detected fatigue. Figma wireframes for clinical review.