I work in an R&D team in the field of scrap sorting. We design innovative sorting machines, using various types of sensors, sometimes combined.My task is identifying an identification strategy, selecting suitable electronic components, and developing the machine software, algorithms and models. I have worked on X-ray sensors (dual-energy transmission, multi-energy transmission, fluorescence), cameras (visible spectrum) and 3D scanners.The machines I personally developed are:▪ X-ray sorter (for metals, plastics, wood) with transmission and fluorescence sensors (patented) (http://separation.sgmmagnetics.com/XRay/Default.aspx);▪ x-ray sorter with backscattering technology (prototype);▪ color sorter with 3D scanner (http://separation.sgmmagnetics.com/Color/CSS.aspx);▪ color sorter with inductive sensors (prototype);▪ induction sorter (prototype).I use ML techniques to create both regression and classification models, integrated into a highly concurrent and distributed architecture that allows for the analysis of large material flows. This architecture is implemented through a framework shared by all types of machines.I am used to work in an international environment with English as business language.