Avinash Kumar
Office: EER 5.884B | Email: avinkumar@utexas.edu
I am a PhD student in Electrical and Computer Engineering at The University of Texas at Austin advised by Prof. Poulami Das.
My research focuses on building efficient systems for ML, with a current emphasis on Large Language Models (LLMs). My work is supported by the Amazon AI PhD Fellowship and the Professor Edith Clarke Fellowship.
Before starting my graduate studies, I obtained my MS degree from UT Austin and my Bachelors degree from NITK Surathkal. I also worked for three years at NVIDIA as a Senior GPU Architect.
News
| June 2026 | I will be in Seattle at Amazon Science working on Reasoning LLMs for the upcoming summer! |
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| May 2026 | Presenting our work HELIOS at MLSys 2026 |
selected publications
- MLSysHELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference ServingProceedings of Machine Learning and Systems, 2026
- ICMLQuarch: A benchmark for evaluating llm reasoning in computer architectureIn Forty-third International Conference on Machine Learning, 2026
- ICMLDialogue Without Limits: Constant-Sized KV Caches for Extended Response in LLMsIn Forty-second International Conference on Machine Learning, 2025