Vikram Mailthody is a Senior Research Scientist at NVIDIA Research with a decade of experience building accelerated computing and systems for large-scale Generative AI. He holds a Ph.D. from UIUC and was a founding member of NVIDIA’s Systems research group, helping drive distributed LLM inference and co-creating a GPU-initiated storage abstraction now being advanced industry-wide. His background spans HW/SW co-design, high-performance numerical and parallel computing, and practical deep learning systemization—work that has been widely deployed and covered by major tech outlets. Prior roles include research and architecture internships at NVIDIA and R&D engineering at Intel and LSI, giving him a rare blend of silicon-aware systems design and large-model infrastructure expertise. Based in the Bay Area, he repeatedly translates academic research into production technologies, notably contributing to hybrid parallelism concepts for large NLP models.
10 years of coding experience
10 years of employment as a software developer
Electronics and Communication, Electronics and Communication at B. M. S. College of Engineering
Doctor of Philosophy (PhD) Electrical and Computer Engineering, Doctor of Philosophy (PhD) Electrical and Computer Engineering at University of Illinois Urbana-Champaign
12th Electronics, 12th Electronics at Vivekananda Pre university College, Puttur
Contributions:59 pushes, 1 branch, 1 tag in 2 months
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Vikram Mailthody - Senior Research Scientist at NVIDIA