I am a Master’s student specializing in Computer Vision and Artificial Intelligence in the Department of Computer Science at Stanford University. Previously, I completed my Bachelor of Science in Computer Engineering from the Department of Electrical and Computer Engineering at Purdue University in 2020.

I work on robot learning for intuitive human-robot interaction using Computer Vision at the Stanford Vision and Learning Lab (SVL) advised by Silvio Savarese. I was an undergraduate researcher at Aly El Gamal’s research lab at Purdue, where I worked on Deep Learning for Signal Processing and Wireless Communications with a focus on Modulation Classification and Interference Identification.

During my academic endeavors, I interned at Google in Fall 2019 as a Software Engineering Intern as a part of the Google Cloud AI team, where I worked on using Model Distillation to create Explainable AI. I also interned at Qualcomm in Summer 2019 as a Machine Learning Intern as a part of the Machine Learning Analysis division of the System Performance team, where I worked on using temporal Deep Learning models to mitigate power loss in Snapdragon chips by optimizing Quality of Service (QoS) parameters when encoding/decoding videos.

Here is my Curriculum Vitae (updated Dec. 2020).