Krishna P. Gudipaty
About
I’m pursuing a Ph.D. in Computer Science at the University of Massachusetts Amherst, under the guidance of Prof. Prashant Shenoy. As part of the Laboratory for Advanced System Software (LASS), I am currently working on the design of failure-aware model serving systems for Foundation Models. More broadly, my research interests include Machine Learning and Artificial Intelligence, Distributed Inference and training, fault-tolerance and resource management on the Edge/IoT.
Prior to this, I have 2.5+ years of experience as a Software Engineer at multiple firms including Deskera, Publicis Sapient and Boeing. I earned my Master’s degree in Computer Science from UMass Amherst in 2024, and my Bachelor’s degree from the Indian Institute of Technology Madras (IITM) in 2020.
News
| Oct 2026 | Presented HYDRA at ACM/IEEE Symposium on Edge Computing (SEC) 2026 |
| Oct 2026 | Presented Foundation Models for the Edge at IEEE MILCOM 2026 |
| Sep 2026 | Awarded Student Travel Grant to attend ACM/IEEE SEC 2026 |
| Sep 2026 | Foundation Models for the Edge: Opportunities and Trade-offs accepted to IEEE MILCOM 2026 |
| Aug 2026 | HYDRA: Multi-Level Ensemble Learning for Failure-Resilient Edge Inference accepted to ACM/IEEE SEC 2026 |
| May 2026 | Artifact Evaluator for OSDI 2026, Reviewer for NeurIPS 2026 |
| Mar 2026 | Artifact Evaluator for MLSys 2026 |
| Jan 2026 | Reviewer for AISTATS 2026 |
| Oct 2025 | Presented our work on Edge ML resilience at IEEE Milcom 2025, Los Angeles |
| Sep 2025 | Considerations for Edge ML resilience accepted to IEEE Milcom 2025 |
| Jun 2025 | Multi-Level Ensemble Learning (MEL) is available on arXiv |
| Jul 2024 | Started my Ph.D. at UMass Amherst under Prof. Prashant Shenoy! |
| May 2024 | Received my Master’s degree from UMass Amherst! |