Biography

I am a Deep Learning Software Engineer at Nvidia. I graduated in May 2021 from Purdue University majoring in Computer Engineering with specializations in Machine Learning and Embedded Systems.

At Nvidia, I improve the performance of Deep Learning models in Distributed settings, optimize frameworks such as PyTorch and Apex for Nvidia hardware, and formulate efficient training recipes for low precision training of large language models.

During my undergraduate studies, I worked under Professor Aly_El_Gamal in his adversarial machine learning research group. I developed novel methods to detect adversarial inputs to real-world convolutional classification models deployed in various settings.

I also worked as a researcher at Purdue University under Professor Yung-Hsiang_Lu in the CAM2 project. I developed techniques to generalize the YOLOv3 object detector to accurately analyze real-time video data from networked cameras.

I am a self learner and have worked on several projects. I have also contributed to open source projects like scikit-learn and IBM’s Adversarial-robustness-toolbox.

In my free time, I like to play chess, play tennis, travel, and hang out with friends.

Please find here my resume and transcript.