Brad Topol

IBM Distinguished Engineer, Director Of AI And Cloud Open Technologies at LF AI & Data Foundation

Apex, North Carolina, United States
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Summary

🤩
Rockstar
🎓
Top School
Brad Topol is an IBM Distinguished Engineer and Director of AI and Cloud Open Technologies who leads IBM’s global open source strategy, developer advocacy, and a large engineering team contributing to projects such as Kubernetes, OpenTelemetry, PyTorch, KubeFlow, and Ray. He blends deep technical contribution—serving as a Kubernetes doc maintainer, OpenTelemetry contributor, and former OpenStack core contributor—with strategic leadership across LF AI & Data and the CNCF governing boards. A two-time O’Reilly co-author on enterprise and hybrid-cloud Kubernetes practices, he helps organizations adopt OSPOs and measures developer advocacy impact tied to business outcomes. Based in Apex, NC, he leverages a Ph.D. in Computer Science to bridge research, product, and community, and quietly drives initiatives that transfer IBM projects into foundation stewardship to boost project vitality.
code13 years of coding experience
job12 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Georgia Institute of Technology
bookMS, Mathematics and Computer Science, MS, Mathematics and Computer Science at Emory University
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Github Skills (55)

mesos10
kubernetes10
docker10
kubernetes-monitoring10
scheduling10
go10
sdk10
opentelemetry10
logging10
operator10
testing9
svg9
openstack9
opentelemetry-go9
documentation9

Programming languages (7)

ShellCSSJavaScriptGoHTMLJupyter NotebookPython

Github contributions (5)

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bradtopol/operator-sdk

Mar 2020 - Feb 2022

SDK for building Kubernetes applications. Provides high level APIs, useful abstractions, and project scaffolding.
Contributions:23 pushes, 5 branches in 1 year 11 months
kubernetes-applicationsproject-scaffoldingscaffoldinghigh-levelk8s-operator
Website/documentation repo
Contributions:52 pushes, 21 branches in 5 years 7 months
documentation-website
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