Selvaraj Anandaraj
Deep Learning Architect at NVIDIA
Campbell, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSelvaraj Anandaraj is a Deep Learning Architect at NVIDIA in Campbell, California, specializing in deep learning performance and model-to-hardware acceleration. He pairs a Master’s research background from the University of Wisconsin–Madison and project research roles in both CSE and EE at IIT Madras with practical semiconductor design experience from Cypress, giving him an uncommon hardware-aware perspective on ML systems. Selvaraj focuses on pushing beyond conventional computing paradigms to meet growing data-crunching demands by optimizing across models, runtimes, and silicon. His blend of academic rigor and hands-on electrical design work helps translate research ideas into high-performance production solutions.
5 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Master of Science - MS at University of Wisconsin-MadisonBachelor of Technology, Bachelor of Technology at Shanmugha Arts, Science, Technology and Research AcademyP.S.Senior Secondary School
Github Skills (42)
speaker-diarization10
speech-to-text10
machine-translation10
pytorch10
python10
machine-learning10
gpt-210
deeplearning10
inference10
multimodal10
speech-synthesis10
text-normalization10
large-language-models10
nmt10
transformer-models10
Programming languages (2)
Github contributions (5)
sanandaraj5597/TransformerEngine
Jan 2024 - Mar 2025
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
Contributions:64 pushes, 13 branches in 1 year 1 month
sanandaraj5597/NeMo-Megatron-Launcher
Jan 2024 - Jun 2024
NeMo Megatron launcher and tools
Contributions:26 pushes, 13 branches in 5 months
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