Anderson Banihirwe
Software Data Engineer
California, United States
Summary
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Rockstar🎓
Top SchoolAnderson Banihirwe is a Software Data Engineer with a decade of experience building open-source data and climate tools, currently developing open data-science infrastructure at CarbonPlan. He is a core maintainer and prolific documentation contributor for xarray and has improved array and chunking functionality in dask, helping make large-scale scientific computing more accessible. His background at NCAR and Quansight ties deep domain knowledge in climate and HPC with practical tooling—authoring integrations like spark-xarray and teaching reproducible workflows via notebooks and training materials. Based in California, he combines hands-on engineering with community-focused technical writing, surfacing usability improvements that lower the barrier for researchers working with multidimensional geoscience data.
10 years of coding experience
4 years of employment as a software developer
UdacityMaster of Science - MS, Master of Science - MS at University of Colorado BoulderBachelor of Science (B.Sc.), Bachelor of Science (B.Sc.) at University of Arkansas at Little Rock
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
data-manipulation10
dataframes10
pandas10
xray10
dask10
python10
documentation10
dataframe10
numpy10
xa10
scikit7
scikit-learn7
Programming languages (18)
Github contributions (5)
pydata/xarray
Sep 2019 - Oct 2022
N-D labeled arrays and datasets in Python
Role in this project:
Technical Writer
Technical WriterContributions:322 reviews, 30 commits, 151 PRs in 3 years
Contributions summary:Anderson's primary contribution centers around improving the documentation for the xarray library. This is evident from the commit messages, which frequently mention updates to docstrings and examples within the codebase. The user's work includes adding examples for various functions, updating and harmonizing documentation, and enhancing the overall clarity and usability of the documentation. These changes reflect a focus on making the library more accessible and easier to understand for users.
pythonnetcdfnumpydaskarrays
dask/dask
Nov 2017 - Oct 2022
Parallel computing with task scheduling
Role in this project:Data Scientist
Data ScientistContributions:8 PRs, 34 comments, 6 issues in 4 years 11 months
Contributions summary:Anderson primarily contributed to the dask/dask repository by adding and refining array functionalities. Their commits included adding and documenting the `invert` function to the array API and fixing its docstrings. Additionally, the user worked on extending the functionality of dask's array creation functions with added support for more flexible chunking sizes and created tests for these array functions. The contributions also include a fix for `DataFrame.__setitem__` for index and modifications to the `dask.bag` module.
pythonschedulingparallelnumpydask
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