Michael Balint
Sr Manager, Product Architecture at NVIDIA
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolMichael Balint is a senior product architecture leader with 12 years of experience designing and operating large-scale AI compute clusters and Kubernetes-based platforms at NVIDIA from the Bay Area. He specializes in managing DGX systems and orchestration for GPU-heavy workloads, blending hands-on DevOps and automation skills with product-level architecture and team leadership. Earlier roles include first engineering hire at DataFox and a Presidential Innovation Fellowship building a clinical trials search API for the Cancer Moonshot, reflecting experience across startups, government, and enterprise. His open-source work on NVIDIA/deepops demonstrates practical expertise automating virtual GPU cluster deployment, including GPU passthrough and Kubernetes integration. With an M.S. in Computer Science from Johns Hopkins and a background in operations research from Cornell, he brings rigorous systems thinking to complex infrastructure challenges. Colleagues rely on him to translate cutting-edge hardware capabilities into repeatable, production-ready platforms.
12 years of coding experience
2 years of employment as a software developer
Thomas Jefferson High School for Science & TechnologyJohns Hopkins UniversityBachelor of Science (B.S.), Operations Research and Information Engineering, Bachelor of Science (B.S.), Operations Research and Information Engineering at Cornell University
French, Romanian
Stackoverflow
2,265reputation
312kreached
24answers
13questions
Github Skills (21)
libvirt10
kubernetes10
bash10
automation10
kubernetes-pods10
ansible10
ansible-galaxy10
automations10
vagrant10
cicd9
docker8
dockers8
networking7
compression6
html6
Programming languages (10)
Github contributions (5)
NVIDIA/deepops
Oct 2018 - Oct 2021
Tools for building GPU clusters
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:4 releases, 105 reviews, 529 commits in 2 years 11 months
Contributions summary:Michael focused on automating and streamlining the deployment of a virtual DeepOps cluster using libvirt and Vagrant. Their contributions involved creating scripts and configurations for virtual cluster setup, including installing dependencies, setting up Kubernetes, and deploying necessary components. They refactored existing scripts, updated versions, and implemented steps to fully integrate the deepops setup within a virtual environment. The user also added scripts to automate cluster destruction and included logic for setting up the GPU passthrough.
gpuclusters
GSA/code-gov-api
Oct 2016 - Feb 2017
API powering the code.gov source code harvester
Contributions:153 commits, 5 PRs, 42 pushes in 4 months
code-govapigovharvesternodejs
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