Selvaraj Anandaraj
Deep Learning Architect at NVIDIA
Campbell, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSelvaraj Anandaraj is a Deep Learning Architect with six years of experience applying hardware-aware ML and performance optimization to high-throughput workloads. Currently at NVIDIA in Campbell, CA, he bridges research and production after graduate work at University of Wisconsin–Madison and multiple research roles at IIT Madras. His background spans electrical design and silicon-focused engineering at Cypress, giving him a rare combination of circuit-level insight and deep learning systems expertise. Selvaraj focuses on pushing beyond conventional compute paradigms to accelerate model performance and efficiency, with a practical bent toward deployable solutions. Colleagues describe him as someone who translates demanding academic research into production-ready optimizations that measurably reduce inference and training bottlenecks.
6 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 (39)
speaker-diarization10
speech-to-text10
pytorch10
machine-translation10
python10
machine-learning10
speech-synthesis10
inference10
multimodal10
text-normalization10
large-language-models10
nmt10
transformer-models10
nvidia10
deep-learning10
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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