About Me
I am a final-year PhD student at the CISPA Helmholtz Center for Information Security in Saarbrücken, advised by Dr. Rebekka Burkholz. My research focuses on building provable algorithms for deep learning, with a current interest in sparsity and the Lottery Ticket Hypothesis to understand the underlying structure of learned neural networks.
I completed my Master's from the ECE Department at Carnegie Mellon University, where I worked with the Optimization, Probability and Learning Group (OPAL) advised by Prof. Gauri Joshi on optimization algorithms with theoretical guarantees for large-scale machine learning systems.
Prior to CMU, I was an undergraduate at BITS Pilani, India. For my bachelor's thesis, I had the privilege of working with Prof. Rajiv Soundararajan at the Indian Institute of Science on designing Image Quality Assessment models that perceive images similarly to the Human Visual System.
Feel free to get in touch—I am always looking forward to insightful discussions!
News & Timeline
- May 2025Spent the summer at Microsoft Research, working on Post Training Quantization with James Hensman.
- June 2024I will be doing a research internship with Bosch AI, developing Sparse Mixture of Expert models for efficient inference.
- April 2022Started my PhD with Dr. Rebekka Burkholz at CISPA.
- Dec 2020Graduated with an MS in ECE from Carnegie Mellon University.
- Aug 2020Interned with the Video Systems team at Qualcomm on video denoising algorithms.
- May 2020Joined the OPAL Group at CMU as a Graduate Research Assistant.
- Aug 2019Started as a Master's student at CMU.
- May 2019Graduated from BITS Pilani, Goa Campus.
Publications
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ICLR 2025 (Workshop)'Attention Is All You Need For Mixture-of-Depths Routing' Accepted at the SCOPE workshop.
ICLR 2024 (Spotlight)
NeurIPS 2021'Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation'Preprints