Ramakrishnan Sivakumar
Principal Engineer at AMD
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolRamakrishnan Sivakumar is a Principal Engineer based in Seattle with seven years of hands-on experience designing and deploying machine learning software for leading silicon and AI companies. He has progressed from operating-systems engineering at Intel to deep learning systems at Groq and now leads ML infrastructure and solutions at AMD, bridging hardware-aware model optimization with production-ready software. A pragmatic problem solver who blogs about AI, he focuses on the big picture—creating frameworks and custom ML solutions that make measurable impact for customers. His ONNX steering committee role underscores his commitment to open interoperability in ML runtimes, reflecting both technical depth and ecosystem leadership.
6 years of coding experience
10 years of employment as a software developer
Master’s Degree Computer Engineering, Master’s Degree Computer Engineering at University of North Carolina at CharlotteBachelor's Degree Electrical Electronics and Communications Engineering, Bachelor's Degree Electrical Electronics and Communications Engineering at Anna University Chennai
Github Skills (55)
pytorch10
ai-framework10
benchmark10
interoperability10
mxnet10
machine-learning10
accelerator10
onnx10
hardware-acceleration10
x8610
ml10
keras10
nvidia10
deep-learning10
tensorflow10
Programming languages (5)
Github contributions (5)
ramkrishna2910/Memories-on-a-plate
Feb 2023 - Nov 2024
Contributions:2 pushes in 1 year 9 months
ramkrishna2910/portfolio
Feb 2023 - Apr 2024
Contributions:19 pushes, 1 branch in 1 year 2 months
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