Summary
Massimo Clementi is a Computer Vision Software Engineer based in Trentino, Italy, with 10 years of experience applying signal processing and deep learning to real-world vision problems. He has designed and deployed embedded fruit detection and localization algorithms for tethered UAVs using Faster R-CNN and stereo vision, and has optimized models for edge AI platforms. His background includes research-grade work on multi-temporal SAR analysis implemented in PyTorch and practical industry experience at BM Group Polytec, backed by top academic honors (110 cum laude) from Università di Trento. Passionate about music and nature, he brings a methodical, simulation-driven approach to problem solving and an unusual blend of hands-on field testing and embedded systems optimization.
10 years of coding experience
High School Diploma, Automation Engineer Technology/Technician, 100/100, High School Diploma, Automation Engineer Technology/Technician, 100/100 at ITT Buonarroti Trento
Bachelor's degree, Information and Communication Engineering, 110 cum laude, Bachelor's degree, Information and Communication Engineering, 110 cum laude at Università di Trento
Italian, English