Damien Fabiano is an AI Product Owner and seasoned engineering professional with 20 years of experience blending data science, industrial engineering and digital transformation across manufacturing and publishing. Based in the Basel area, he has led DevOps/MLOps adoption, built data-driven production tools (chatbots, predictive maintenance, digital twins) and managed portfolios that translate operator needs into scalable AI solutions. He pairs hands-on coding and data work—contributing fixes to numpy's f2py parsing and building SQL/Python/PowerBI pipelines—with product leadership and change management (DISC, ADKAR) on the shop floor. Damien mentors aspiring data professionals at OpenClassrooms and has driven cross-site deployments at Mars, giving him a rare mix of frontline operational empathy and technical depth. He is comfortable moving between French- and English-speaking environments and often focuses on the non-obvious blockers of data projects: organizational adoption, documentation and process standardization rather than purely technical hurdles.
20 years of coding experience
3 years of employment as a software developer
Diplôme d'ingénieur, Engineering Science, Diplôme d'ingénieur, Engineering Science at Arts et Métiers - École Nationale Supérieure d'Arts et Métiers
Diplome des Entrepreneuriales, Création d'entreprise, Diplome des Entrepreneuriales, Création d'entreprise at Les entrepreneuriales
Management, Management at Lodz University of Technology
Formation post THP, Computer Science, Formation post THP, Computer Science at The_Hacking_Project
Baccalauréat, Mathematics, Baccalauréat, Mathematics at Lycée International Charles de Gaulle
Génie Mécanique et Productique, Génie Mécanique et Productique at IUT de Dijon, Université de Bourgogne
The fundamental package for scientific computing with Python.
Role in this project:
Back-end Developer
Contributions:16 reviews, 5 commits, 5 PRs in 3 months
Contributions summary:Damien primarily contributed to the `numpy/numpy` repository by fixing bugs and implementing enhancements related to the `f2py` module, a tool for creating Python extension modules from Fortran code. Their contributions focused on improving the parsing and processing of Fortran code, including handling operator overloading and type definitions. The user's work addressed issues related to variable access rights and dependencies within the `f2py` codebase.
Contributions:3 reviews, 2 PRs, 7 comments in 2 years 1 month
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