Nathan Rhee
Sponsorship Lead at Formula Electric at Berkeley
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolNathan Rhee is a data-driven software engineer and sponsorship lead based in Berkeley with 11 years of technical and leadership experience. Currently studying Statistics and Data Science at UC Berkeley, he blends hands-on engineering—mobile app development with Flutter and simulation work for Formula Electric—with sponsorship and event leadership at Cal Hacks. He’s contributed technical writing improvements to the widely used matplotlib project, sharpening documentation and API clarity for the broader Python plotting community. Past internships include building virtual device simulations at the San Diego Supercomputer Center and a brief data science stint at Glint Lab, reflecting a mix of applied research and product engineering. Nathan brings a practical curiosity for robotics and controls from intensive programs like UCSD COSMOS and applies rigorous, testable simulations to inform mechanical decisions. Colleagues describe him as a hacker-entrepreneur who prefers shipping clear, well-documented solutions that scale from prototype to competition-ready systems.
11 years of coding experience
Westview High SchoolBachelor of Arts - BA, Statistics, Data Science, Bachelor of Arts - BA, Statistics, Data Science at UC Berkeley College of Computing, Data Science, and Society
Github Skills (6)
data-visualizations10
data-visualization10
data-visualisation10
python10
documentation10
matplotlib10
Programming languages (2)
Github contributions (5)
matplotlib/matplotlib
Oct 2016 - Nov 2016
matplotlib: plotting with Python
Role in this project:
Technical Writer
Technical WriterContributions:8 commits, 3 PRs, 6 comments in 1 month
Contributions summary:Nathan primarily focused on improving and rewriting documentation within the matplotlib repository. They corrected formatting issues, such as curly quotes, in the marker table. Furthermore, the user updated docstrings and added missing markers to the library, improving clarity and completeness. The contributions enhance the project's documentation for users and developers.
matplotlibpythondata-visualizationdata-scienceqt
trpham/CodingPractice
Nov 2016 - Feb 2017
Contributions:112 pushes, 1 branch in 3 months
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