Pradeep Kumar is a Senior AI Scientist and Assistant Professor at William & Mary with 11 years of experience bridging systems research and production engineering across the US, China, and India. His work focuses on performance-driven ML infrastructure—IO, storage, file systems, and parallel computation—with a specialization in graph data management and streaming analytics as well as sparsity-aware deep learning systems. He has industry experience at NetApp, Huawei, and IBM Almaden, combining file-system and storage engineering with compiler and runtime development, and now leads product development for CyberGPT using GraphRAG. A Ph.D. from George Washington University, he blends academic rigor with practical system-building and has a track record of translating low-level optimizations into scalable ML performance improvements.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electronics Engineering, Bachelor of Technology (B.Tech.), Electronics Engineering at Indian Institute of Technology (Indian School of Mines), Dhanbad
Doctor of Philosophy (Ph.D.), Computer Engineering, Doctor of Philosophy (Ph.D.), Computer Engineering at The George Washington University
Contributions:3 commits, 1 push in 3 years 2 months
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