About
Hello! I'm a first-year CS PhD student at the Kahlert School of Computing, University of Utah. I'm fortunate to be working with Prof. Aditya Bhaskara. I'm also a part of Utah's Theory Group. Previously, I spent a year as a research assistant at the Laboratory for Computational Social Systems (LCS2) @IIT Delhi (led by Dr. Tanmoy Chakraborty), and also as a research assistant at the Networks and Learning Group at TIFR Mumbai (led by Dr. Abhishek Sinha). I'm broadly interested in fundamental problems in artificial intelligence with a particular focus on robustness and efficiency. The best way to reach me is via my email (urssidd@gmail.com), and you can find my other links at the bottom of this page.
Research interests: High-dimensional statistics, Optimization, Large Language Models (inference efficiency, compression, data attribution, interpretability), Applied Probability.
Other interests: Sleeping, Eating, Progressive Metal, Lifting, Speed Typing, Gaming, InvestingPublications
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Linear Regression with Heteroskedastic Errors
Siddhant Chaudhary and Aditya Bhaskara
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Value-Guided KV Compression for LLMs via Approximated CUR Decomposition
Ayan Sengupta*, Siddhant Chaudhary* and Tanmoy Chakraborty
paper · code · poster -
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
Ayan Sengupta*, Siddhant Chaudhary* and Tanmoy Chakraborty
paper · code · poster -
$\alpha$-Fair Contextual Bandits
Siddhant Chaudhary and Abhishek Sinha
paper · code -
Online Subset Selection using $\alpha$-Core with no Augmented Regret
Sourav Sahoo, Siddhant Chaudhary, Samrat Mukhopadhyay, and Abhishek Sinha preprint
Industry/OSS Experience
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PhD SWE Intern, Google
Efficient inference in LLMs. -
Open Source Developer, Google Summer of Code
Ported ColBERT to Julia; developed and maintained ColBERT.jl. -
Open Source Developer, Google Summer of Code
Contributed to and wrote various packages in the JuliaStats ecosystem.
News
- Aug 2025 Our paper on a new KV cache compression technique accepted at NeurIPS 2025!
- Aug 2025 Started my PhD in computer science at KSoC, U of U!
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Apr 2025
My work on
ColBERT.jlaccepted as a main talk to JuliaCon 2025! -
Jan 2025
Our paper on
PruneNet, a novel structured model compression technique, accepted to ICLR 2025! - Jun 2024 Our paper on fair contextual bandits accepted at FoRLaC@ICML2024!
- May 2024 Joined LCS2@IITD as an RA!
- May 2024 Graduated from CMI with a BS + MS in Computer Science!
Links
- Email: urssidd@gmail.com, u1591895@utah.edu
- Google Scholar: Siddhant Chaudhary
- GitHub: github.com/codetalker7
- LinkedIn: Siddhant Chaudhary
- X / Twitter: @codetalker07
- Bluesky: @codetalker7.bsky.social
- Keybase: @codetalker7