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 system for Foundation Models. More broadly, my research interests include Machine Learning and Artifical Intelligence, Distributed Inference and training, fault-tolerance and resource management on the Edge/IoT.
Prior to this, I have a 2.5+ years of experience as a Software Engineer at multiple firms including Deskera, Publicis Sapient and Boeing. I earned my Masters degree in Computer Science from UMass Amherst in 2024, and my Bachelors degree from the Indian Institute of Technology Madras (IITM) in 2020.
I’m actively looking for research internships for Summer 2027 — feel free to reach out!
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 phd at UMass Amherst under Dr. Prashant Shenoy! |
| May 2024 | Received my Masters degree from UMass Amherst! |
Website source: link, under GNU General Public License v3