Gopinath Chennupati
Applied Scientist at Amazon
Fremont, California, United States
Summary
👤
Senior🎓
Top SchoolGopinath Chennupati is an Applied Scientist with eight years of experience building and deploying machine learning systems at scale, currently focused on automatic speech recognition, federated learning, and deep learning at Amazon. His background blends research and production: at Los Alamos he developed deep NLP models for cancer pathology and probabilistic performance models used to simulate a 16.7M-node supercomputer and guide exascale codesign. He has hands-on experience delivering low-latency recommendation engines in production (0.1s response) and implementing models across Python, C/C++ and Java. Comfortable across distributed and parallel computing (MPI/OpenMP), bioinformatics, and uncertainty quantification, he bridges domain research and real-world engineering. Based in Fremont, CA, he holds a PhD in Computer Science and brings a rare mix of high-performance computing simulation experience and practical ML product delivery.
8 years of coding experience
5 years of employment as a software developer
Master’s Degree, Web Technologies, Master’s Degree, Web Technologies at National College of IrelandJawaharlal Nehru Technological University HyderabadDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Limerick
English, Telugu, Hindi
Github Skills (3)
neural-network1
tensorflow1
deep-learning1
Programming languages (1)
Github contributions (3)
lanl/PPT
Oct 2017 - Feb 2019
Performance Prediction Toolkit
Contributions:2 commits, 24 pushes, 1 branch in 1 year 5 months
chennupati/chennupati.github.io
Sep 2018 - Sep 2018
Contributions:4 pushes, 1 branch in 1 day
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