Gerald Shen
Applied Research Scientist at NVIDIA
Mountain View, California, United States
Summary
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Rockstar🎓
Top SchoolGerald Shen is an applied research scientist based in Mountain View with three years of focused experience building and analyzing ML systems, particularly around interpretability and efficient training of neural networks. He progressed from research and engineering roles at the Vector Institute to deep learning algorithm engineering and now research science at NVIDIA, blending hands-on software tooling with empirical evaluation of robustness and OOD detection. Gerald’s background spans applied medical imaging prognostics, fault-tolerant computer vision tooling, and teaching systems programming, giving him a rare mix of production-aware engineering and rigorous research practice. He is motivated by making large language models and neural nets both cheaper to train and easier to understand, and often bridges the gap between experimental insights and deployable ML infrastructure.
3 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Human and Evolutionary Biology, Bachelor of Science - BS, Computer Science, Human and Evolutionary Biology at University of Toronto
Stackoverflow
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Github Skills (35)
speaker-diarization10
speech-to-text10
machine-translation10
language-model10
speech-synthesis10
multimodal10
text-normalization10
large-language-models10
nmt10
deep-learning10
generative-ai10
speaker-recognition10
natural-language-processing10
asr10
conversational-ai10
Programming languages (2)
Github contributions (5)
NVIDIA/NeMo-Aligner
Dec 2023 - Mar 2025
Scalable toolkit for efficient model alignment
Contributions:4 releases, 380 reviews, 123 PRs in 1 year 3 months
gshennvm/NeMo-Megatron-Launcher
May 2023 - Aug 2023
NeMo Megatron launcher and tools
Contributions:30 pushes, 3 branches in 3 months
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