Jamie Nunez
Machine Learning Engineer at Axon
West Richland, Washington, United States
Summary
👤
Senior🎓
Top SchoolJamie Nunez is a machine learning engineer with nine years of research and development experience building data pipelines, ML models, and user-friendly analysis tools across domains from cybersecurity to metabolomics. Comfortable moving between lab benches and production systems, Jamie has designed ETL workflows, optimized high-performance Linux computations, and led interdisciplinary teams and projects at institutions like PNNL and AmFam. They combine strong scientific rigor (M.S. in Computer Science) with practical engineering—contributing the cividis colormap to matplotlib, now used widely in visualization tooling. Jamie excels at identity matching and predictive scoring while mentoring early-career researchers and presenting at international conferences, demonstrating both technical depth and clear communication. Based in West Richland, WA, they relish novel, technically challenging problems that let them learn and compound new skills.
9 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Bioengineering and Biomedical Engineering, Senior, Bachelor’s Degree, Bioengineering and Biomedical Engineering, Senior at University of WashingtonMaster's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of TechnologyAssociate's Degree, Engineering, Computer, Physical, and Atmospheric Sciences, Associate's Degree, Engineering, Computer, Physical, and Atmospheric Sciences at Columbia Basin College
English
Github Skills (6)
data-visualizations10
data-visualization10
data-visualisation10
python10
data-science10
matplotlib10
Programming languages (3)
Github contributions (5)
matplotlib/matplotlib
Nov 2017 - Dec 2017
matplotlib: plotting with Python
Role in this project:
Data Scientist
Data ScientistContributions:9 commits, 3 PRs, 14 comments in 9 days
Contributions summary:Jamie primarily contributed to the addition and refinement of the 'cividis' colormap within the matplotlib library. They implemented the color map in `lib/matplotlib/_cm_listed.py`, adding the data and description. The user also added documentation and examples of the color map in the "what's new" section, including code to generate a plot demonstrating its usage. Further revisions and edits to the documentation were also made.
pythondata-sciencegtkdata-visualizationplotting
pnnl/cmaputil
Mar 2017 - Sep 2018
Contributions:11 commits, 2 PRs, 5 pushes in 1 year 6 months
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