Sidharth Anupkrishnan is an MS-Ph.D. computer science researcher and engineer with nine years of experience building scalable distributed systems and resource-constrained ML for wearables. Currently a research assistant at UMass Amherst, he focuses on deploying efficient machine learning models on wearable devices and has prior experience in distributed continual learning under Prof. Hava Siegelmann. His industry background includes performance and scalability work on Ceph at Red Hat and a research internship at Nokia Bell Labs, reflecting a strong systems-to-ML trajectory. He has teaching experience supporting course design and student mentorship, bridging research insights with practical instruction. Comfortable moving between low-level systems engineering and applied ML research, he brings a pragmatic approach to optimizing models for real-world, resource-limited hardware.
9 years of coding experience
3 years of employment as a software developer
12th, PCM, 93 %, 12th, PCM, 93 % at Maharishi Vidya Mandir Senior Secondary School
Bachelor of Technology - BTech, Mechanical Engineering, Bachelor of Technology - BTech, Mechanical Engineering at SRM University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Massachusetts Amherst
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Sidharth Anupkrishnan - Research Assistant at University of Massachusetts Amherst