Michele De Vita is an Artificial Intelligence Researcher based in Erlangen with a decade of experience applying deep learning to real-world problems and teaching practitioners and managers alike. Currently at FAU Erlangen-Nürnberg, he combines academic rigor with hands-on product work from co-founding Prediba to delivering production LLM solutions for document classification and tag clustering. He has a strong instructional track record—over 50 students taught and multiple corporate courses—and a multidisciplinary education in data science and deep learning from Florence, DTU and Universidad Carlos III. Michele prizes simplicity in design (“Simple is beautiful”) and maintains a creative outlet through a personal website and an online art gallery, reflecting an uncommon blend of technical depth and visual sensibility.
11 years of coding experience
3 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Master's degree, Data Science, Master's degree, Data Science at Università degli Studi di Firenze
Implementation of various DDPM papers to understand how they work
Contributions:4 releases, 72 commits, 4 PRs in 4 months
deep-learningpytorchddpmgenerative-model
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