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.
10 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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