Diego Villamaina is an engineer with 11 years of experience bridging scientific research and production software, currently developing backend services, automation and testing in Zurich. He began in ultrafast laser spectroscopy (PhD-level research) and transitioned to building containerized pipelines and web applications for scientific image and sequence analysis at the University of Zurich. Diego has practical expertise in Python, Docker, Postgres and geospatial/raster tools, and has authored and maintained parallelized scientific pipeline tools such as gbids and gc3apps. He has commercial experience building API-integrations and end-to-end tests at Fluence World and delivering cross-platform automation and device management with Ansible and PowerShell. Comfortable working at the intersection of research and engineering, he repeatedly turns complex scientific workflows into reproducible, containerized services. Colleagues value his blend of meticulous scientific thinking and pragmatic software craftsmanship.
10 years of coding experience
4 years of employment as a software developer
Master’s Degree Photochemistry and Material Science, Master’s Degree Photochemistry and Material Science at Alma Mater Studiorum – Università di Bologna
Doctor of Philosophy (Ph.D.) Ultrafast Laser Spectroscopy, Doctor of Philosophy (Ph.D.) Ultrafast Laser Spectroscopy at University of Geneva
Contributions:14 pushes, 1 branch in 4 years 8 months
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