David Fidalgo is an AI software engineer with 10 years of experience bridging astrophysics research and production ML systems, currently building AI capabilities at Checkmk in Munich. He holds a PhD in Astrophysics and has applied his quantitative background across roles at Max Planck institutions and industry positions at Argilla, delivering scalable data-driven solutions for scientific and product teams. A practical engineer and back-end contributor to the Gammapy gamma-ray astronomy project, he has hands-on experience improving analysis pipelines, plotting utilities, and time/phase filtering in scientific Python code. Comfortable moving models from research to production, he combines data-science rigor with software engineering discipline to ship reliable ML tooling. Fluent in collaborative open-source workflows, he brings both domain expertise in physical sciences and a track record of improving code quality and reproducible analysis.
10 years of coding experience
7 years of employment as a software developer
Diplom (Master of Science), Physics, Diplom (Master of Science), Physics at The Julius Maximilians University of Würzburg
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at Universidad Complutense de Madrid
Contributions:71 commits, 25 PRs, 4 pushes in 7 months
Contributions summary:David primarily contributed to the Gammapy project by modifying and updating existing code and documentation related to light curve analysis, including plotting methods and helper functions. They implemented suggestions from other developers, addressing issues and improving code quality. Their contributions involved changes to core modules like `lightcurve.py` and test files, particularly focusing on the implementation of time and phase filters for the analysis pipeline. This demonstrates a strong understanding of the project's data analysis workflow.
Contributions:89 pushes, 51 branches, 1 tag in 7 months
gamma-rayastrologyraypythonastrophysics
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