Russell Manser
Senior Production Analyst at Axiom Consultants
Stillwater, Oklahoma, United States
Summary
👤
Senior🎓
Top SchoolRussell Manser is a Senior Production Analyst with a decade of experience building and maintaining scientific software and numerical models for operational forecasting at the National Weather Service. He specializes in Python and Bash in Linux/HPC environments, routinely working with terabyte-scale datasets, ML/statistical models, and 24/7 production pipelines to ensure on-time public data delivery. His background in atmospheric science (MS, PhD work) grounds his engineering decisions in domain knowledge, bridging research and operational needs. Russell contributes to open-source tooling—notably adding Dask array support to the popular pint library—demonstrating skill in making scientific libraries scale to larger-than-memory and distributed workflows. Colleagues rely on him for debugging complex production failures and designing resilient automation for real-time dissemination. He learns quickly, enjoys solving technical problems in scientific contexts, and brings a pragmatic, test-driven approach to high-performance, mission-critical systems.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Geological and Earth Sciences/Geosciences, Doctor of Philosophy - PhD Geological and Earth Sciences/Geosciences at Texas Tech UniversityBachelor of Science - BS Meteorology, Bachelor of Science - BS Meteorology at St. Cloud State UniversityInver Hills Community College
Github Skills (7)
units-of-measurement10
dask10
python10
numpy10
testing10
science9
git5
Programming languages (2)
Github contributions (5)
hgrecco/pint
Jul 2020 - Aug 2020
Operate and manipulate physical quantities in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 2 PRs, 7 comments in 1 month
Contributions summary:Russell primarily focused on integrating Dask array support within the pint library. They implemented methods to interface with Dask arrays, including `__dask_*__` methods and convenience functions like `compute`, `persist`, and `visualize`. Furthermore, the user added tests to ensure the Dask collection interface worked correctly, which encompassed functionalities such as compute, persist and visualize, and added distributed tests. They also implemented deterministic hashing and improved documentation.
sarifpythonsciencebootstrappinghyphenation
rpmanser/MetPy
May 2020 - Sep 2021
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Contributions:23 pushes, 9 branches in 1 year 3 months
meteorologypythoncalculationsvisualizingweather-data
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