2025
Aura, Accessible Shopping Assistant
An accessibility-focused platform for blind and low-vision users combining fabric scanning, haptic feedback, and a personalized digital closet to enable independent, nonvisual fashion exploration.
At Cornell Tech, I'm pursuing my master's in Information Systems with a concentration in Connective Media, where User Research and Product Strategy sit at the heart of everything I do. My background in Customer Experience AI and a drive to shape experiences that feel accessible, intuitive, and deeply customer-centric is what defines my work. Currently seeking Summer 2026 internships where I can bring that thinking to life.
2025
An accessibility-focused platform for blind and low-vision users combining fabric scanning, haptic feedback, and a personalized digital closet to enable independent, nonvisual fashion exploration.
A behavioral experiment (N=30) replicating Asch's conformity paradigm in a human-AI setting, revealing that hybrid human-AI social cues drive stronger conformity signals than either alone.
An applied machine learning study predicting industrial machine failures using IoT sensor data, tackling severe class imbalance and nonlinear sensor interactions through model benchmarking, error analysis, and robustness evaluation to enable cost-effective, condition-based maintenance.
Tech Fleet
Cornell Tech
Cornell Tech
Quantiphi Inc.
TribeVibe (BookMyShow)
MS in Information Systems — Connective Media
GPA: 3.52
Related Coursework:
BS in Electronics and Telecommunication Engineering
GPA: 3.44
Relevant coursework: