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 (87)
python10
deep-learning10
convolutional-neural-networks10
ml10
fluid-simulation10
ai10
fine-tuning10
neural-network10
nvidia10
tensorflow10
physics10
simulation10
pytorch10
machine-learning10
climate-science10
Programming languages (6)
Github contributions (5)
loliverhennigh/Computational-Physics-and-Machine-Learning-Reading-List
Aug 2017 - Dec 2017
A list of papers relating Computational Physics and Machine Learning
Contributions:7 commits, 6 pushes, 1 branch in 3 months
computational-physicsmachine-learning
loliverhennigh/Lattice-Boltzmann-fluid-flow-in-Tensorflow
Aug 2016 - Mar 2018
A Lattice Boltzmann fluid flow simulation written in Tensorflow.
Contributions:41 commits, 39 pushes, 2 branches in 1 year 6 months
simulationtensorflow
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