Adam Tetelman
Senior Manager, Product Architecture at NVIDIA
Reno, Nevada, United States
Summary
🤩
Rockstar🎓
Top SchoolAdam Tetelman is a senior product architecture leader with 13 years of experience building cloud-native, big data, and ML infrastructure, now leading Product Architecture at NVIDIA from Reno. Grounded in Computer and Cognitive Engineering with graduate work in computational perception and robotics, he blends deep technical expertise with an entrepreneurial mindset to drive tooling, deployment automation, and developer-facing platform solutions. He’s moved from hands-on roles—streamlining GPU cluster deployment and running a local BinderHub with Kubernetes—to strategic architecture and team leadership, bridging cognition and AI with production systems. Known for versatility and a habit of trying new approaches, he consistently turns complex research and ML workflows into reliable, scalable products.
13 years of coding experience
13 years of employment as a software developer
CourseraSelf Driving Car Nanodegree Deep Learning Software Engineering, Self Driving Car Nanodegree Deep Learning Software Engineering at UdacityManchester High School WestEntrepreneurship/Entrepreneurial Studies, Entrepreneurship/Entrepreneurial Studies at Stanford University Venture LabMaster of Science (MS) Computational Perception & Robotics, Master of Science (MS) Computational Perception & Robotics at Georgia Institute of TechnologyBachelor of Science (BS) Computer and Systems Engineering / Cognitive Science, Bachelor of Science (BS) Computer and Systems Engineering / Cognitive Science at Rensselaer Polytechnic Institute
Github Skills (11)
kubernetes10
automation10
container10
docker10
automations10
helm10
containerization10
cicd10
kubernetes-pods10
bash9
kubeflow8
Programming languages (11)
Github contributions (5)
NVIDIA/deepops
Feb 2019 - Oct 2022
Tools for building GPU clusters
Role in this project:
DevOps Engineer
DevOps EngineerContributions:1 release, 236 reviews, 588 commits in 3 years 9 months
Contributions summary:Adam primarily focused on streamlining and improving the deployment process for the `nvidia/deepops` repository, a set of tools for building GPU clusters. Their commits addressed the deployment workflow, breaking it into modular components and enhancing supporting scripts, suggesting a focus on infrastructure and automation. Furthermore, the user implemented the deployment and configuration of a local BinderHub instance, demonstrating experience with Kubernetes and containerized application deployments.
gpu
NVIDIA/nim-deploy
May 2024 - Apr 2025
A collection of YAML files, Helm Charts, Operator code, and guides to act as an example reference implementation for NVIDIA NIM deployment.
Contributions:117 reviews, 60 PRs, 55 pushes in 10 months
helmnvidiaoperatoryaml
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