Carlo Sartori
Applied Scientist at Amazon
Luxembourg
Summary
👤
Senior🎓
Top SchoolCarlo 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.
11 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 LeuvenMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Federal University of Rio Grande do Sul
Portuguese, English, French, Dutch
Github Skills (19)
openstreetmap10
logistics10
vehicle-routing-problem10
map-matching10
combinatorial-optimization10
operations-research10
cpp10
backend10
osrm10
traveling-salesman9
python9
windows9
scientific-computing8
numpy8
algorithm7
Programming languages (3)
Github contributions (5)
cssartori/ovig
Feb 2019 - Aug 2021
Contributions:2 releases, 20 commits, 6 pushes in 2 years 6 months
cssartori/pdptw-instances
Feb 2019 - Jan 2023
Instances for the Pickup and Delivery Problem with Time Windows (PDPTW) based on open data
Contributions:47 commits, 1 PR, 38 pushes in 3 years 11 months
windowscombinatorial-optimizationlogisticsoperations-researchtransportation
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