Chinmay Kulkarni is a Software System Designer with 9 years of experience focused on performance optimization for deep learning models, currently driving LLM and recommender model acceleration at AMD using PyTorch/TorchCompile and custom C++/Python operators. He combines hands-on backend and frontend optimization—replacing native PyTorch classes at runtime and performing graph-level operator fusion—to extract CPU performance for AMD EPYC platforms. Chinmay has a strong research-to-production background, from improving TensorFlow graph throughput as an intern to presenting award-winning work at AMD technical conferences. He holds a Master’s in Computer Science from NYU and a bachelor’s from PES University, and has repeatedly earned internal recognition for high-impact performance wins. Notably, he bridges ML research and systems engineering, translating graph surgery and custom operator design into measurable throughput gains rather than only prototypical results.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at PES University
Contributions:1 PR, 36 pushes, 2 branches in 18 days
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Chinmay Kulkarni - Software System Designer 2 at AMD