Lorenzo De Santis is a Full Stack Developer with 11 years of hands-on experience building pragmatic software and research-grade tools, currently working at Multicerta in the Greater Parma area. He blends R&D and applied engineering experience from roles at Imagicle and Robomagister to deliver backend-heavy solutions and AI-driven features. A rigorous problem solver by nature, Lorenzo pursues puzzles and technical challenges obsessively until he finds a solution, a trait reflected in his contributions to the well-regarded mne-python neuroimaging project where he improved command-line tooling, documentation, and BEM surface workflows. Academically grounded with top honors from Università di Pisa and Parma in computer science and AI, he pairs strong theoretical knowledge with production experience across startups and established firms. Known for attention to code quality and tooling, he thrives on turning complex algorithms into reliable, maintainable systems.
11 years of coding experience
5 years of employment as a software developer
Laurea Triennale in Scienze e Tecnologie Informatiche, Informatica, 110/110 con Lode, Laurea Triennale in Scienze e Tecnologie Informatiche, Informatica, 110/110 con Lode at Università degli Studi di Parma
Diploma Scientifico, Liceo Scientifico PNI (Piano Nazionale per l'Informatica), 100/100, Diploma Scientifico, Liceo Scientifico PNI (Piano Nazionale per l'Informatica), 100/100 at Liceo Scientifico G. Ulivi - Parma
Liceo Scientifico, Liceo Scientifico at IIS Zappa-Fermi Borgotaro
Laurea Magistrale LM in scienze e tecnologie informatiche, Artificial Intelligence, 110/110 con Lode, Laurea Magistrale LM in scienze e tecnologie informatiche, Artificial Intelligence, 110/110 con Lode at Università di Pisa
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Role in this project:
Back-end Developer
Contributions:81 commits, 2 PRs, 39 comments in 6 months
Contributions summary:Lorenzo contributed to the development of the `mne-python` repository, which focuses on Magnetoencephalography (MEG) and Electroencephalography (EEG) analysis. Their work includes adding and modifying code related to the `mne_watershed_bem` command, a tool likely used for creating BEM surfaces within the context of neuroimaging analysis. Further commits involved code style adjustments, documentation improvements, and implementing command-line argument parsing for the tool.
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Lorenzo De Santis - Full Stack Developer at Multicerta S.r.l.