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

My research interests lie in Computer Vision and the application of GANs for the prevention of adversarial attacks on autonomous vehicles. 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 Jul. 2020).