Nathan Goldbaum
Staff Software Engineer at NumPy
Denver, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolNathan Goldbaum is a Staff Software Engineer and long-time open-source maintainer who brings 11 years of experience bridging scientific research and production software. Based in Denver, he works at Quansight Labs maintaining and enhancing core projects like NumPy and PyO3 while advocating and authoring guidance for free-threaded Python adoption. His background as a PhD astronomer and former Research Scientist who led the yt project and co-created unyt reflects deep expertise in large-scale scientific data, memory-efficient algorithms, and cross-language tooling. Nathan’s contributions span low-level C-API and debugging documentation to practical backend fixes in widely used projects such as setuptools and yt, demonstrating both systems-level rigor and a user-focused documentation mindset. Notably, he blends academic grant-winning leadership with hands-on code authorship, making him adept at turning complex scientific needs into robust, community-facing software.
11 years of coding experience
7 years of employment as a software developer
University of California Santa CruzBachelor of Arts - BA, Physics, Bachelor of Arts - BA, Physics at University of Colorado Boulder
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
data-visualizations10
python10
setuptools10
data-visualisation10
capi10
numpy10
data-visualization10
scientific-computing10
documentation10
data-analysis10
astropy9
data-structures8
cli8
command-line-interface8
command-line8
Programming languages (23)
Github contributions (5)
numpy/numpy
Nov 2022 - Jan 2023
The fundamental package for scientific computing with Python.
Role in this project:
Backend Developer & Documentation Specialist
Backend Developer & Documentation SpecialistContributions:951 reviews, 19 commits, 546 PRs in 2 months
Contributions summary:Nathan contributed to documentation related to debugging NumPy, expanding the documentation to include examples for using gdb. They also made changes to the C API documentation to provide more information to users on how the API works. The user also helped add and update information about the DType and StringDType API.
pythonscientific-computingnumpy
yt-project/yt
Mar 2019 - Feb 2020
Main yt repository
Role in this project:Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:39 commits, 673 PRs, 434 pushes in 11 months
Contributions summary:Nathan primarily contributed to bug fixes and improvements within the `yt-project/yt` repository, which focuses on scientific computing and data visualization. Their commits addressed issues related to loading and handling data, specifically with older `ytdata` outputs and stream frontends. Additionally, the user updated dependencies and made adjustments to ensure compatibility with newer versions of libraries like `unyt` and `sympy`, improving overall code stability.
pythondatafinite-element-analysisgeophysicsnuclear-engineering
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.