I am a PhD student at the University of Washington, where I am advised by Arvind Krishnamurthy and Ratul Mahajan. I am broadly interested in distributed systems and machine learning systems. My thesis research revolves around designing performance models and algorithms to optimize resource efficiency in large-scale machine learning deployments. My ongoing projects seek to improve the quality and efficiency of long context generations in large language models.

My academic journey has been complemented by valuable practical experiences: I am actively contributing to the Model Context Protocol specification and open-source projects in that ecosystem. Until June 2025, I was a student researcher at Systems Research @ Google. Previously, I collaborated with Srikanth Kandula and Ishai Menache as a research intern and visitor at Microsoft Research. Before starting my PhD, I spent two years as a Research Fellow at Microsoft Research India working with Muthian Sivathanu.

Publications

1. NSDI

   Efficient Direct-Connect Topologies for Collective Communications

   Liangyu Zhao, Siddharth Pal, Tapan Chugh, Weiyang Wang, Jason Fantl, Prithwish Basu, Joud Khoury, and Arvind Krishnamurthy

   In 22nd USENIX Symposium on Networked Systems Design and Implementation, NSDI 2025, Philadelphia, PA, USA, April 28-30, 2025, 2025

2. SoCC

   Anticipatory Resource Allocation for ML Training

   In Proceedings of the 14th ACM Symposium on Cloud Computing, 2023

3. SIGMETRICS

   Dremel: Adaptive Configuration Tuning of RocksDB KV-Store

   Chenxingyu Zhao, Tapan Chugh, Jaehong Min, Ming Liu, and Arvind Krishnamurthy

   Proceedings of the ACM on Measurement and Analysis of Computing Systems, 2022

4. SIGCOMM

   Gimbal: enabling multi-tenant storage disaggregation on SmartNIC JBOFs

   Jaehong Min, Ming Liu, Tapan Chugh, Chenxingyu Zhao, Andrew Wei, In Hwan Doh, and Arvind Krishnamurthy

   In Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 2021

5. ASPLOS

   Astra: Exploiting predictability to optimize deep learning

   Muthian Sivathanu, Tapan Chugh, Sanjay S Singapuram, and Lidong Zhou

   In Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019