Preferred: Krishna (he/him)
pronounced: /ˈkrɪʃ.nə/ (krish-nuh)
kgudipaty [at] umass [dot] edu

About Me

Hi! Thanks for making your way here. I’m pursuing a Ph.D. in Computer Science at the University of Massachusetts Amherst, under the guidance of Dr. 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. I also hold a Masters degree in from UMass Amherst, with a masters project on Quantum Error Correcting Codes and qLDPC decoders.

Prior to this, I worked full-time for 2+ years as a Software Engineer at Deskera, where I developed full-stack microservices and data-pipelines for e-commerce data. I earned my Bachelors degree from the Indian Institute of Technology Madras in 2020.

News

Looking for internships for Summer 2026! Please reach out if I could be a fit.

   
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!

Publications

  1. Gudipaty, Krishna Praneet, W. A. Hanafy, L. Wu, et al., “Practical considerations for failure resilient ml systems at the edge,” in MILCOM 2025 - 2025 IEEE Military Communications Conference (MILCOM)

  2. Gudipaty, Krishna Praneet, W. A. Hanafy, K. Ozkara, et al., “Mel: Multi-level ensemble learning for resource-constrained environments,” arXiv preprint arXiv:2506.20094, 2025

  3. A. Micciche, Gudipaty, Krishna Praneet, and S. Krastanov, “Quantum ldpc error correcting codes for use on 1d quantum dot arrays,” in APS March Meeting Abstracts, vol. 2024, S46–010


Website modified by Krishna Praneet Gudipaty (click for source)