Pete Huang
Commissioner at San Francisco Public Library
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolPete Huang is a commissioner and product-minded technologist in San Francisco with 13 years of experience building businesses and public programs that create local impact. He blends startup founding (The Neuron, Haven Infusion) and product/revenue roles at Airtable and Coinbase with early consulting at McKinsey, bringing both strategic rigor and hands-on execution. Pete co-founded a newsletter and podcast that grew to 500K+ readers and reached #1 in US Technology before being acquired, showing an uncommon knack for audience-driven product growth. Technically grounded with an MS in Computer Science from Northwestern and open-source contributions to projects like matplotlib and Exercism, he translates complex systems into clear docs and practical code. Appointed and reappointed to the San Francisco Public Library board, he pairs civic leadership with entrepreneurial energy. Known for moving between policy, product, and engineering, he favors initiatives that scale locally while resonating broadly.
12 years of coding experience
7 years of employment as a software developer
Master of Science (MSc), Sustainability and Behaviour Change, Master of Science (MSc), Sustainability and Behaviour Change at Centre for Alternative TechnologyMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at Northwestern University
Github Skills (17)
data-visualizations10
restructuredtext10
python10
elixir10
matplotlib10
rs10
data-visualisation10
tracks10
data-visualization10
documentation10
functional-programming9
algorithms8
data-structure7
data-structures7
co5
Programming languages (8)
Github contributions (5)
exercism/elixir
Dec 2013 - Dec 2013
Exercism exercises in Elixir.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:15 commits in 12 days
Contributions summary:Pete primarily contributed by adding stub files and example implementations for Elixir exercises within the Exercism platform. These exercises focused on various programming concepts, including DNA mutations, data structures (grade school), and algorithms (sum of multiples, strain, accumulate, sieve). The contributions involved defining module structures, functions with type specifications, and basic example implementations for the given exercises.
exercismelixirexercism-exercisesexercism-trackcommunity-contributions-accepted
matplotlib/matplotlib
Dec 2016 - Jan 2017
matplotlib: plotting with Python
Role in this project:Technical Writer
Technical WriterContributions:15 commits, 10 PRs, 153 comments in 13 days
Contributions summary:Pete primarily contributed to improving the documentation of the matplotlib library. Their commits included adding and updating API documentation, fixing typos, and clarifying instructions within the user guides and development documentation. They also added links to relevant external resources and updated documentation regarding bug reporting and keyboard shortcuts.
pythondata-sciencegtkdata-visualizationplotting
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