Govind Ramnarayan is a Senior Deep Learning Software Engineer in Seattle with five years of focused experience building high-performance ML systems and runtimes. He has driven production-ready optimizations for sparse neural network inference at Neural Magic and advanced secure computation and enclave backends at Pyte, bridging research-quality algorithms with customer-facing products. His recent work includes LLM data engineering for a stealth startup and now contributing to deep learning software at NVIDIA, reflecting a blend of systems-level performance tuning and applied ML research. Trained at UC Berkeley and pursuing a PhD at MIT in computer science, he pairs rigorous academic background with practical engineering outcomes. Notably, he has deep expertise in memory- and cache-aware techniques (e.g., Tensor Columns) that materially speed CPU-based neural workloads—skills that translate into faster model deployment and lower infrastructure costs.
5 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.) Electrical Engineering and Computer Science, Bachelor of Science (B.S.) Electrical Engineering and Computer Science at University of California, Berkeley
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Massachusetts Institute of Technology
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Govind Ramnarayan - Senior Deep Learning Software Engineer at NVIDIA