Mohammad Shoeybi

Senior Staff Research Manager at NVIDIA

California, United States
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Summary

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Rockstar
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Top School
Mohammad Shoeybi is a Senior Staff Research Manager at NVIDIA with eight years of experience leading applied deep learning teams to build large-scale language models and production NLP solutions. He has a strong track record of translating cutting-edge research into product impact, previously leading ML and RL efforts at DeepMind for YouTube and shipping speech and TTS systems at Baidu. Comfortable across low-level high-performance engineering (C++, CUDA, MPI, OpenMP) and ML stacks (TensorFlow, Spark, Docker), he routinely bridges algorithmic innovation with scalable production systems. His background in computational fluid dynamics (MS/PhD from Stanford) and early work on massively parallel scientific code reflect a long-standing focus on numerical optimization and performance at scale. Known for assembling and mentoring cross-functional teams, he often combines hands-on prototyping with delivery responsibilities. Based in California, he brings a rare mix of academic rigor and product-oriented engineering to large-scale AI deployments.
code8 years of coding experience
job9 years of employment as a software developer
bookMS, Mechanical Engineering, Computational Fluid Dynamics, MS, Mechanical Engineering, Computational Fluid Dynamics at Stanford University
bookBS, Mechanical Engineering, Non-linear Vibration Analysis and Control, BS, Mechanical Engineering, Non-linear Vibration Analysis and Control at Sharif University of Technology
languagesenglish, farsi
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Github Skills (26)

transformers10
pytorch10
machine-learning10
large-language-models10
transformer-models10
scale10
deep-learning10
transformer10
nlp10
language-model9
bert9
scalability7
python7
paddlepaddle6
industrial6

Programming languages (3)

C++JavaScriptPython

Github contributions (5)

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shoeybi/farm

Oct 2017 - Oct 2017

Contributions:2 pushes in 1 day
armprocessorsroutines
shoeybi/DeepSpeed

Jun 2020 - Jun 2020

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Contributions:2 pushes in 1 day
pytorchdeepspeeddeep-learningeffectiveoptimization
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Mohammad Shoeybi - Senior Staff Research Manager at NVIDIA