Francesco Giordano is a Data Science & Engineering Manager with 11 years of experience blending physics-grade research and practical ML/engineering delivery across CERN and luxury retail. He built production Python libraries at CERN for power-loss and temperature analysis and developed a 96%+ precision ML model now used in LHC operations, demonstrating his ability to turn research into operational systems. At Van Cleef & Arpels he led data engineering and ML teams to modernize retail analytics, migrate pipelines to cloud, and automate reporting workflows used by senior management. He also contributes to open-source tooling and improved robustness of Microsoft Live Share’s Linux installer scripts, reflecting a DevOps-minded approach to reliability. Trained as an electrical engineer with a PhD in Information Technology, he pairs deep domain knowledge with hands-on coding and a persistent appetite for solving hard classification problems—often explored through Kaggle and weekend security research. Outside work he teaches catamaran sailing, an unexpected thread that mirrors his practical leadership and calm under pressure.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Information Technology, Excellent (Highest grade), Doctor of Philosophy - PhD, Information Technology, Excellent (Highest grade) at Università degli Studi di Napoli Federico II
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Role in this project:
DevOps Engineer
Contributions:10 commits, 7 PRs, 15 comments in 5 months
Contributions summary:Francesco primarily contributed to the project's Linux dependency installation script. Their work involved refactoring the script, fixing dependency names, adding options, and improving code quality. This included adding a loading animation during package operations and improving the overall robustness of the dependency installation process for various Linux distributions.
Contributions:4 releases, 192 commits, 12 PRs in 1 year 10 months
pythonurl-parserspiderpentestforensics
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