Summary
Francesco M is a machine learning engineer with seven years of experience building production-ready AI and software systems across industry and research settings in Italy. He holds a summa cum laude MSc in ICT - Cybersystems from the University of Padova and blends deep learning research (neural network visual explanations) with hands-on engineering such as deep neural network design, large-scale data engineering, Qt/PyQt desktop development, and point cloud alignment. Comfortable moving between low-level C++ applications and Python ML stacks, he has delivered solutions for regulated industry at Stevanato Group and product-focused engineering at ADTS. Currently focused on machine learning roles, he brings a pragmatic approach to turning complex models into maintainable, deployable software. Colleagues value his rare combination of academic rigor and applied system craftsmanship, plus a history of contributing to engineering-grade code rather than just prototypes.
7 years of coding experience
2 years of employment as a software developer
Master's degree, Master of science in ICT - Cybersystems, 110L/110 (Summa cum laude), Master's degree, Master of science in ICT - Cybersystems, 110L/110 (Summa cum laude) at Università degli Studi di Padova
English, Italian