Sangamesh Ragate
Principal Engineer at Cerebras Systems
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolSangamesh Ragate is a Principal Engineer based in Sunnyvale with nine years of experience building high-performance kernels and libraries for deep learning workloads. He has progressed from HPC research and performance analysis roles to leading parallel and distributed algorithm development at Cerebras Systems, with hands-on optimization for architectures like Intel Knights Landing and Xeon Phi. His background blends deep academic research—PAPI tool development and a Master’s in Computer Engineering—with pragmatic engineering that accelerates real-world DL frameworks such as PyTorch on specialized hardware. Known for squeezing performance out of unconventional accelerators, he bridges low-level systems work and scalable ML implementations. Colleagues rely on him for complex performance tuning and for translating research ideas into production-grade kernels that run on next-generation AI accelerators.
9 years of coding experience
13 years of employment as a software developer
BE Electronics & communication, BE Electronics & communication at M.S.Ramaiah Institute Of TechnologyMaster's degree Computer Engineering, Master's degree Computer Engineering at University of Tennessee, Knoxville
Github Skills (7)
neon7
convolution6
python6
hardware6
deep-learning5
neural-network4
graph2
Programming languages (2)
Github contributions (4)
ColfaxResearch/YOLO-Object-Detection
Nov 2017 - May 2018
Contributions:17 commits, 4 pushes, 5 comments in 6 months
ColfaxResearch/FALCON
Nov 2016 - Nov 2016
Library for fast image convolution in neural networks on Intel Architecture
Contributions:2 commits, 7 pushes, 1 branch in 2 days
convolutionneural-network
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