I'm a PhD Candidate at Georgia Tech, advised by Prof. Karen Feigh at the Cognitive Engineering Center. My research focuses on how people understand, trust, and collaborate with AI in complex, multi-agent settings, drawing on cognitive science, human factors, and sociotechnical evaluation.

This work has been published and recognized across leading AI, HCI, and human factors venues.

I also have experience in building end-to-end deep learning (NLP, Computer Vision, and Reinforcement learning) pipelines. Through applied research roles at GE Aerospace Research and Autodesk, my work spans dataset creation, model development, experiments and ablations, and performance evaluation and benchmarking.

I'm driven to build reliable, interpretable, and human-centered AI systems grounded in real-world impact.

News

August 2026

Successfully defended my Ph.D. Dissertation

July 2026

Presented our work at the Office of Naval Research in Arlington, VA

May 2026

Presented work on Shared Mental Models at the Center for Human-AI-Robot Teaming (CHART) at Georgia Tech

June - August 2025

AI Research Fellow Intern at GE Aerospace at the GE Research Center in Niskayuna, NY

June - August 2024

AI Research Fellow Intern at GE Aerospace at the GE Research Center in Niskayuna, NY

February 2024

Presented and won travel grant of $1500 for best poster at the Georgia Tech Career, Research, and Innovation Development Conference. Poster was titled - Shared Mental Models for Human-AI Teaming

May - August 2022

Machine Learning Intern at Autodesk

August 2021

Started PhD in Georgia Institute of Technology in Atlanta in Electrical and Computer Engineering

May 2021

Completed Master of Science in Electrical and Systems Engineering from the University of Pennsylvania

August 2019

Started Master of Science in Electrical and Systems Engineering at the University of Pennsylvania

May 2019

Graduated with a Bachelors in Technology in Electrical Engineering from Sardar Patel College of Engineering, University of Mumbai