Ryan Prenger
Senior Deep Learning Researcher at NVIDIA
Livermore, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRyan Prenger is a Senior Deep Learning Researcher with 11 years of experience applying physics-rooted rigor to practical AI problems, currently driving research at NVIDIA from Livermore, California. His career spans national lab science at Lawrence Livermore, R&D and research scientist roles at Vectra and Baidu, and a sustained focus on translating advanced models into production-ready systems. Holding a Ph.D. and M.A. in Physics from UC Berkeley and a high-achieving undergraduate degree from Purdue, he blends deep theoretical background with hands-on engineering. Colleagues benefit from his rare combination of academic depth and industry execution, and his trajectory suggests an emphasis on scalable, research-driven solutions in applied deep learning.
11 years of coding experience
9 years of employment as a software developer
Master of Arts (M.A.), Physics, Master of Arts (M.A.), Physics at University of California, BerkeleyBachelor's Degree, Physics, 3.93, Bachelor's Degree, Physics, 3.93 at Purdue University
Github Skills (49)
transformers10
machine-translation10
text-to-speech10
speech-synthesis10
multimodal10
large-language-models10
automatic-speech-recognition10
transformer-models10
representations10
speech10
generative-ai10
speaker-recognition10
asr10
similarity9
language-agnostic9
Programming languages (4)
Github contributions (5)
RPrenger/NeMo
Feb 2021 - Mar 2021
NeMo: a toolkit for conversational AI
Contributions:14 pushes, 6 branches in 1 month
nlpconversationalconversational-aichatbotnemo
RPrenger/Megatron-LM
Feb 2026 - Jul 2026
Ongoing research training transformer models at scale
Contributions:6 pushes, 1 branch in 4 months
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