Pete Huang
Co-Founder at Haven Infusion
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolPete Huang is a San Francisco-based technology entrepreneur and civic-minded product leader with over a decade of experience spanning strategy, software, and social impact. Currently Co-Founder of Haven Infusion and a Commissioner for the San Francisco Public Library (appointed by Mayor London Breed), he blends hands-on engineering with governance and community service to drive local impact. His track record includes leadership roles at Airtable, McKinsey, and startup ventures like The Neuron - AI News, reflecting a rare mix of product rigor and entrepreneurial grit. He earned an MS in Computer Science and a BA in Political Science from Northwestern, plus an MSc in Sustainability and Behaviour Change from Centre for Alternative Technology. An active open-source contributor, he has advanced documentation for Matplotlib and built Elixir exercises on Exercism, highlighting a penchant for clear communication and approachable engineering.
12 years of coding experience
5 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 (19)
data-visualizations10
documentations10
restructuredtext10
python10
elixir10
matplotlib10
restructured-text10
rs10
data-visualisation10
tracks10
data-visualization10
documentation10
functional-programming9
algorithms8
data-structure7
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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