Stephanie Gott is a software engineer with a decade of experience building scalable backend systems and geospatial platforms, currently contributing at Paramount+ from Santa Fe, NM. She has deep hands-on experience in Python and C, having developed high-traffic location services and data pipelines at Twitter and a geospatial computation engine at Descartes Labs. Stephanie also contributes to open-source tooling—improving the ipyleaflet Jupyter-Leaflet bridge to better support xarray and smoother installs—reflecting a focus on usability and maintainability. A fast learner who thrives on problem-solving, she pairs formal CS training from New Mexico Tech with practical cloud and Kubernetes experience to deliver production-ready solutions.
10 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at New Mexico Institute of Mining and Technology
Contributions:5 commits, 1 PR, 4 comments in 7 months
Contributions summary:Stephanie focused on improving the ipyleaflet library's functionality and dependencies. They addressed deprecation warnings in the code and updated the library to work with xarray by importing it into the Velocity layer. Further, they updated the instructions for installation and cleaned up the module, improving the user's install experience. The user's work demonstrates efforts to maintain and improve the core functionality of the library.
Contributions:6 pushes, 1 branch in 4 years 3 months
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