Max Grover
Senior Weather Software Engineer
Boulder, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolMax Grover is a Senior Weather Software Engineer with nine years of experience building scalable data pipelines and open-source tools for atmospheric science, currently tackling petabyte-scale datasets at Spire in Boulder. He blends hands-on software engineering with domain expertise from roles at Argonne, NCAR, and Unidata, and holds an MS in Atmospheric Sciences from UIUC. An active contributor to Py-ART, Max has improved visualization, testing, and cross-section functionality for a widely used radar toolkit, demonstrating both data-science savvy and production-grade engineering. Known for positivity, adaptability, and strong communication, he also brings a track record of teaching and promoting open science practices across research and operational settings.
9 years of coding experience
9 years of employment as a software developer
University of Illinois Urbana-ChampaignBachelor's degree, Meteorology, Senior, Bachelor's degree, Meteorology, Senior at Valparaiso University
Github Skills (8)
computer-engineering10
python10
data-visualization8
data-visualisation8
data-visualizations8
data-analysis8
digital-signal-processing7
testing7
Programming languages (11)
Github contributions (5)
ARM-DOE/pyart
Feb 2022 - Jan 2023
The Python-ARM Radar Toolkit. A data model driven interactive toolkit for working with weather radar data.
Role in this project:
Data Scientist & Software Engineer
Data Scientist & Software EngineerContributions:15 releases, 258 reviews, 235 commits in 11 months
Contributions summary:Max contributed significantly to enhancing the Py-ART toolkit by adding and updating examples and test datasets. Their work included updating plotting examples to use the data API, improving code quality through bug fixes, and implementing cross-section functionality. The user also contributed to the integration of a new colormap, showing a solid understanding of data visualization and software development best practices.
model-drivenpythonradar-processingradardata-driven-model
mgrover1/mscar-python-workshop-2022
Sep 2022 - Feb 2023
Python Workshop Materials for MSCAR 2022
Contributions:5 reviews, 74 commits, 6 PRs in 4 months
pythonworkshop-materialsworkshop
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