I am a PhD student in the Department of Computer Science at the University of California, Los Angeles advised by Prof. Cho-Jui Hsieh. Previously, I was a Pre-Doctoral Researcher at Google DeepMind and have held positions at Google Research India, working under the guidance of Prateek Jain and Inderjit Dhillon. During this period, I had the privilege of learning from two exceptional mentors: Dheeraj Nagaraj and Arun Sai Suggala. I completed my B.E. in Computer Science and MSc. in Economics from BITS Pilani, Hyderabad Campus. I am grateful to be supported by the UCLA Graduate Dean's Scholar Award and the Quad Fellowship.

Prior to this, I also worked as a consultant at MILA, advised by Yoshua Bengio. I have been fortunate to collaborate with leading research teams worldwide in AI, including Amit Sheth and T.K. Prasad at Kno.e.sis, Karim Jerbi from the Cognitive & Computational Neuroscience Lab, University of Montreal, Samira Kahou from MILA, and Dr. Gokul Swamy from Amazon ML.

My research interests broadly cover deep learning, focusing on designing robust and efficient techniques for practical deep learning systems. As machine learning continues to expand into real-world applications, ensuring models are both robust and efficient has become more critical than ever. I also use this website to blog about research topics that interest me. In my free time, I enjoy gaming and playing badminton.

For anyone interested in my research: Please feel free to email me if you are interested in a discussion on research or potential collaborations.