Oliver Hennigh-lemus
Software Engineer at NVIDIA
Bothell, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolOliver Hennigh-lemus is a software engineer with 12 years of experience focused on high-performance machine learning and GPU-accelerated computation. Currently at NVIDIA, he develops neural-network-based PED solvers that bridge research-grade models and production GPU workloads. His background includes ML research at the Air Force Research Laboratory on aerial object recognition and an early research stint at Los Alamos National Laboratory, giving him a strong applied-research pedigree. Based in Bothell, WA, he combines algorithmic depth with hands-on engineering—aptly summarized on GitHub as "Making GPU go Brrrr"—and is skilled at turning complex numerical methods into optimized, deployable code. Colleagues value his ability to translate academic ideas into efficient, real-world ML systems.
12 years of coding experience
2 years of employment as a software developer
Clarkson University
Github Skills (82)
python10
deep-learning10
approximation10
convolutional-neural-networks10
ml10
neural-network10
artificial-intelligence10
data-science10
tensorflow10
physics10
pytorch10
machine-learning10
weather10
deep-neural-networks10
ai9
Programming languages (5)
Github contributions (5)
loliverhennigh/Computational-Fluid-Dynamics-Machine-Learning-Examples
Aug 2017 - Feb 2018
Contributions:12 commits, 11 pushes, 1 branch in 6 months
loliverhennigh/Phy-Net
Nov 2016 - Jul 2018
Contributions:245 commits, 177 pushes, 2 branches in 1 year 8 months
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