PhD, Computer Science at Kahlert School of Computing, University of Utah
Salt Lake City, Utah, United States
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Summary
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Siddhant Chaudhary is a research-driven software engineer and PhD candidate focused on efficient inference for large language models, currently interning at Google to optimize LLMs on TPUs. With five years of experience spanning theoretical machine learning, generative AI, and open-source engineering, he has contributed to high-impact projects including LibreOffice core and ColBERT.jl. His research produced practical systems-level advances—PruneNet (ICLR 2025) and KV-cache compression (NeurIPS 2025)—that target model and inference efficiency. Trained in math and CS at Chennai Mathematical Institute and pursuing doctoral work at University of Utah, he blends rigorous theory with production-minded implementation. An active Julia ecosystem contributor and educator (PROMYS), Siddhant pairs deep mathematical intuition with hands-on tooling for scalable AI.
5 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Chennai Mathematical Institute
Read-only LibreOffice core repo - no pull request (use gerrit instead https://gerrit.libreoffice.org/) - don't download zip, use https://dev-www.libreoffice.org/bundles/ instead
Role in this project:
Back-end Developer
Contributions:5 commits in 2 months
Contributions summary:Siddhant primarily focused on improving the LibreOffice core code base by addressing bugs and enhancing the user interface. They replaced data types for color handling in unit tests and implemented a fix to improve UNO API error reporting. Furthermore, the user contributed to enhancing the Calc application, storing the paste special options for persistence and session-wide usage.
Contributions:2 releases, 309 pushes, 4 branches in 2 years 5 months
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Siddhant Chaudhary - PhD, Computer Science at Kahlert School of Computing, University of Utah