Jorge Garrido
Staff Engineer at Synopsys Inc
Madrid, Community of Madrid, Spain
Summary
🤩
Rockstar🎓
Top SchoolJorge Garrido is a Staff Engineer based in Madrid with 8 years of experience building reliable scientific and engineering software for aerospace and enterprise tooling. He has driven CI/CD, observability, and automation at Ansys and now focuses on robust software delivery at Synopsys, combining deep domain knowledge from a bachelor’s in aerospace engineering and a master’s in astronomy and astrophysics. Jorge contributes to open-source astrodynamics tooling—improving test automation and plotter backends in the popular poliastro project—and maintains Python ecosystems and templates that streamline developer workflows. Equally comfortable with thermal solvers for space missions and optimizing self-hosted GitHub runners, he blends hands-on implementation with practical developer enablement. A Linux aficionado and former Python instructor, he brings both technical rigor and a knack for making complex systems more observable and maintainable.
9 years of coding experience
6 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)Master's degree Astronomy and Astrophysics, Master's degree Astronomy and Astrophysics at VIU - Universidad Internacional de Valencia
Github Skills (6)
pytest10
python10
numpy10
testing10
matplotlib9
astropy7
Programming languages (20)
Github contributions (5)
poliastro/poliastro
Jul 2022 - Jan 2023
poliastro - :rocket: Astrodynamics in Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:114 reviews, 51 commits, 114 PRs in 6 months
Contributions summary:Jorge primarily contributed to improving the quality and reliability of the `poliastro/poliastro` repository. Their commits focused on enhancing existing tests, including using `numpy.testing.assert_allclose` with appropriate tolerances and removing outdated tests. The user also implemented and tested backends for plotters, particularly for dark/light mode with matplotlib and other plotters, and ensured that plotting functions returned expected types.
pythonsciencescientific-computingorbital-simulationspace-physics
poliastro/documents
May 2021 - Feb 2023
Third round small grants program
Contributions:11 reviews, 3 PRs, 5 pushes in 1 year 9 months
roundgrants
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