Nathan M

Seattle, Washington, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Nathan M is a product-minded engineering professional with nine years of experience blending data science, AI, and simulation to build autonomous vehicle products from concept to deployment. Based in Seattle, he combines a multidisciplinary academic background in biochemistry, history, and international studies with practical DevOps experience—contributing to projects like TabPy by automating deployments and hardening configuration. He approaches product development like a strategy game: anticipating scenarios, crafting narratives around complex problems, and planning quickly when conditions change. Comfortable at the intersection of data, software, and systems, he focuses on making data-driven tools accessible and productive for diverse users. Nathan’s work reflects a preference for pragmatic automation and reproducible deployments that accelerate teams rather than lock them into custom solutions.
code9 years of coding experience
bookBachelor of Arts (B.A.), IES Abroad Program, Nagoya Japan, Bachelor of Arts (B.A.), IES Abroad Program, Nagoya Japan at Nanzan University
bookBachelor's Degree, Biochemistry, Bachelor's Degree, Biochemistry at Grinnell College
languagesJapanese
github-logo-circle

Github Skills (7)

devops10
python10
cicd9
setuptools9
py9
bash9
tableau8

Programming languages (4)

CHTMLJupyter NotebookPython

Github contributions (5)

github-logo-circle
tableau/TabPy

Jan 2019 - Jan 2023

Execute Python code on the fly and display results in Tableau visualizations:
Role in this project:
userDevOps Engineer
Contributions:6 reviews, 18 commits, 8 PRs in 4 years
Contributions summary:Nathan focused on setting up and maintaining the TabPy server, making updates to deployment scripts and dependencies. They made changes to `startup.sh` and `startup.cmd` files, incorporating installation steps for dependencies, likely automating the deployment process. Their work also included correcting typos and updating the project's `setup.py` file, demonstrating involvement in configuration and project management.
pythontableauvisualizationstabpytabpy-tutorial
nmannheimer/test-app-511

Aug 2020 - Aug 2023

Contributions:12 PRs, 41 pushes, 2 branches in 3 years
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.
Request Free Trial