Ryan B
Software Engineering Manager, Cloud Infrastructure at NVIDIA
United States
Summary
🤩
Rockstar🎓
Top SchoolRyan B is a software engineering manager with 11 years focused on cloud infrastructure and distributed systems, currently leading a global team at NVIDIA building some of the world’s largest GPU clouds for gaming and generative AI. He combines hands-on expertise in Kubernetes, KubeVirt, NVMe/TCP, NVMe-oF, SPDK, BlueField DPUs and NVIDIA GPUs with a strong open source pedigree from Ubuntu, OpenStack and Ceph. Previously he managed Ubuntu OpenStack & Ceph engineering at Canonical and served on the OpenStack Foundation board, bringing product-scale experience in storage and virtualization. An active GitHub contributor, he has improved AI-scale storage tooling (AIStore) through CLI, build automation and security hardening work, showing a practical focus on operability and developer experience. His background spans ops, systems and leadership roles dating back to founding a systems firm, giving him a rare blend of entrepreneurial grit and deep infrastructure craftsmanship.
11 years of coding experience
23 years of employment as a software developer
Associate of Science - AS Information Network Technology, Associate of Science - AS Information Network Technology at Pratt Community CollegeBachelor of Science - BS Technology Leadership, Bachelor of Science - BS Technology Leadership at Fort Hays State University
English
Github Skills (10)
object-storage10
go10
cli10
devops9
bash9
api8
kubernetes8
kubernetes-pods8
apidoc8
python7
Programming languages (7)
Github contributions (5)
NVIDIA/aistore
Oct 2020 - Jan 2021
AIStore: scalable storage for AI applications
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:11 commits, 2 pushes, 1 branch in 3 months
Contributions summary:Ryan contributed to the AIStore project by implementing features related to the CLI, including renaming commands and improving error messages. They also made significant changes to the build process by adding scripts for generating and cleaning Python API client bindings. Furthermore, they addressed security concerns by reducing file permissions and improved code quality through bug fixes and code refactoring.
scalabledeep-learningdistributed-shufflemachine-learninghyper-converged
ryan-beisner/aistore
Dec 2020 - Mar 2021
AIStore: scalable storage for AI applications
Contributions:4 PRs, 34 pushes, 3 branches in 3 months
scalablefairness-mlmlmachine-learningai-applications
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