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 (182)
dependency-management10
difference10
messaging10
web-application10
python10
package-management10
multithreading10
testing10
command-line-interface10
authentication10
bash10
proxy10
ipython10
websocket10
c1110
Programming languages (33)
Github contributions (5)
ipython/traitlets
Nov 2010 - Dec 2022
A lightweight Traits like module
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 624 commits, 331 PRs in 12 years 3 months
Contributions summary:Min's commits primarily focused on enhancing the command-line interface and configuration loading aspects of the traitlets library. They introduced features for handling Unicode command-line options and implemented support for argument parsing, including aliases and flags. Additionally, they refactored the configuration system for better integration with the `newparallel` feature and incorporated descriptions for various help sections to improve user experience.
traits
ipython/ipython-in-depth
Mar 2012 - Sep 2021
IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:1 review, 84 commits, 18 PRs in 9 years 7 months
Contributions summary:Min primarily focused on creating and modifying IPython Notebooks related to parallel computing. They initialized and updated notebooks, with changes including the addition of new notebooks, and reordering existing ones. The changes involved code differences in files such as P01 Overview and Architecture.ipynb, and P30 Working with MPI.ipynb, reflecting a focus on enhancing and documenting the IPython environment for parallel processing.
ipythonjupyter
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