Brad Topol
IBM Distinguished Engineer, Director Of AI And Cloud Open Technologies at LF AI & Data Foundation
Apex, North Carolina, United States
Summary
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Rockstar🎓
Top SchoolBrad 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.
13 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Georgia Institute of TechnologyMS, Mathematics and Computer Science, MS, Mathematics and Computer Science at Emory University
Github Skills (86)
go-api10
identity10
scheduling10
opentelemetry10
operator10
mesos10
scaffolding10
location10
api10
sdk10
kubernetes10
opentelemetry-go10
go10
docker10
kubernetes-monitoring10
Programming languages (7)
Github contributions (5)
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
bradtopol/kubernetes.github.io
Apr 2017 - Oct 2022
Website/documentation repo
Contributions:52 pushes, 21 branches in 5 years 7 months
documentation-website
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