Donnie Kim
Senior Software Engineer at NVIDIA
Austin, Texas Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolDonnie Kim is a Senior Software Engineer at NVIDIA with eight years of experience building machine learning and production engineering solutions across healthcare and enterprise domains. He transitioned from academic research applying deep learning to medical imaging at MD Anderson into ML engineering roles at Baylor and Loram before shaping DevOps and platform work at IBM and now at NVIDIA. His background in physics and biomathematics (UTHealth/Rice) gives him a strong quantitative foundation for bridging research-grade models to robust, scalable systems. Colleagues describe him as someone who pairs rigorous scientific thinking with pragmatic DevOps practices, able to move prototypes into production while maintaining reproducibility. An Austin-based engineer, he brings uncommon domain depth in medical imaging biomarkers alongside modern cloud-native tooling.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Rice UniversityPhysics, Physics at University of Massachusetts AmherstMaster's degree, Biomathematics, Bioinformatics, and Computational Biology, Master's degree, Biomathematics, Bioinformatics, and Computational Biology at The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences
English, Korean
Github Skills (85)
toolbox10
pose10
unet-image-segmentation10
nvidia-docker10
openpower9
feature-extraction9
inference9
pose-estimation9
tensorrt9
densenet9
nvidia9
3d-images8
cpp8
medical-imaging8
python8
Programming languages (7)
Github contributions (5)
DonnieKim411/pipeline
Jan 2019 - Apr 2020
Schemata and libraries for neuroscientific data
Contributions:155 pushes in 1 year 3 months
schematapython
cajal/DeepLabCut
Feb 2019 - May 2019
Markerless tracking of user-defined features with deep learning
Contributions:4 PRs, 33 pushes in 3 months
deep-learningtrackingdefinedmarkerless
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