Min Ragan-kelley
Senior Open Infrastructure Architect at Berkeley Institute for Data Science (BIDS)
Berkeley, California, United States
Summary
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Top expert inScientific Computing and Data Science
Min Ragan-kelley is a Senior Open Infrastructure Architect with 16 years building and stabilizing large-scale open-source tooling around Jupyter, IPython, and scientific Python ecosystems. Based in Berkeley, CA and currently at BIDS, he blends backend systems engineering, DevOps, and front-end polish to ship reliable developer and research infrastructure. His contributions span critical projects like JupyterHub, BinderHub, repo2docker, ipykernel, and pyzmq, and extend into packaging and build systems such as pip, flit, conda, and conda-forge. He routinely fixes tricky compatibility, packaging, and async/networking bugs—often improving cross-language integrations (C++, Cython, Node) and containerized deployments for reproducible compute. Not obvious from titles: he moves fluidly between low-level security/stability work in ZeroMQ and UX-facing tweaks in ipywidgets and the Jupyter website, making him equally comfortable in provable internals and user-facing polish.
16 years of coding experience
UC Berkeley
Stackoverflow
38,021reputation
3.1mreached
249answers
1question
git
top-5%
gitignore
top-5%
ipython
top-1%
parallel-processing
top-1%
io
top-5%
latex
top-1%
Github Skills (184)
dependency-management10
difference10
messaging10
web-application10
python10
package-management10
multithreading10
testing10
command-line-interface10
authentication10
bash10
proxy10
ipython10
websocket10
c1110
Programming languages (28)
Github contributions (5)
jupyterhub/dockerspawner
Sep 2014 - Nov 2022
Spawns JupyterHub single user servers in Docker containers
Role in this project:
DevOps Engineer
DevOps EngineerContributions:17 reviews, 335 commits, 252 PRs in 8 years 2 months
Contributions summary:Min's commits primarily focused on automating and improving the deployment and management of JupyterHub instances within Docker containers. They introduced changes to manage container lifecycles more efficiently by reusing existing containers and implementing stop/start functionality. Further contributions involved setting up and testing Docker builds within a Travis CI pipeline, including the use of the `jupyterhub/systemuser` image, and improving the overall process by updating Dockerfiles.
spawnercontainerssingle-userdockerspawnerjupyter-notebook
ipython/ipython
Mar 2010 - Jan 2022
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Role in this project:Back-end Developer
Back-end DeveloperContributions:3 releases, 7 reviews, 6181 commits in 11 years 11 months
Contributions summary:Min primarily contributed to the backend of the project, focusing on improving the IPython kernel. They worked on removing unused kernel features, adapting to the message spec, and maintaining the core engine functionality. The contributions include fixing issues with the display of output from Jupyter frontends, improving the performance of loading notebooks, and creating a mechanism for handling and updating displays.
documentation-websitepythondata-sciencebuildsnotebook
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