Summary
Francesco Stranieri is a Machine Learning Engineer with a decade of experience blending academic rigor (PhD in Artificial Intelligence) and hands-on industry impact across manufacturing, pharma supply chains, and education. He designs optimization algorithms and neural models that turn physical process constraints—like probe insertion and laser machining—into measurable yield and efficiency gains, and has applied deep reinforcement learning to build a digital twin for perishable-drug inventory. A frequent tutor and instructor, he translates complex operations research and ML concepts into practical training for students and professionals, and founded an education platform that sustained high user satisfaction. Comfortable moving from research to production, he combines strong mathematical foundations with product-minded solutions and a knack for identifying non-obvious drivers of project complexity to allocate resources more effectively.
10 years of coding experience
4 years of employment as a software developer
High School Diploma, Computer Science and Telecommunications, High School Diploma, Computer Science and Telecommunications at ITI Pino Hensemberger
Visiting PhD Student, Operations Management and Decision Science, Visiting PhD Student, Operations Management and Decision Science at ESSCA
Master of Science - MS, Computer Science (LM-18), 110/110L, Master of Science - MS, Computer Science (LM-18), 110/110L at Università degli Studi di Milano-Bicocca
Doctor of Philosophy - PhD, Artificial Intelligence (Industry 4.0), Doctor of Philosophy - PhD, Artificial Intelligence (Industry 4.0) at Politecnico di Torino
Italian, English