Summary
Carlo Sartori is an applied scientist and operations researcher with a decade of experience designing and implementing large-scale combinatorial optimization solutions, particularly in vehicle routing and personnel scheduling. He bridges deep academic research—PhD work at KU Leuven and award-winning master's research in Brazil—with hands-on engineering in C++, Java, Python and optimization solvers like Gurobi and CPLEX. Carlo has translated theory into impact at Amazon (middle-mile network optimization) and KLM, delivering measurable speedups and decision-support tools for transport and resource allocation. He also consults and taught programming and algorithms with top student evaluations, showing a knack for explaining complex methods to practitioners. Comfortable across research, development and deployment, he combines algorithmic innovation with production-oriented engineering to solve very large, synchronized scheduling problems.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Ciência da Computação, Doctor of Philosophy - PhD Ciência da Computação at KU Leuven
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Federal University of Rio Grande do Sul
Portuguese, English, French, Dutch