Summary
Sávio Dias is a Senior R&D Engineer at Ansys with 13 years of experience applying combinatorial optimization, mathematical programming and metaheuristics to industrial-scale simulation software. He transitioned from academia—completing a Ph.D. in Combinatorial Optimization at COPPE/UFRJ and teaching introductory programming—to industry roles developing Rocky, a DEM particle solver used for physics simulations. Comfortable across C++, Python and full-stack environments, he has blended scientific development with software engineering to ship performant solvers and tooling. His background includes web and legacy system maintenance for government-funded projects, evidencing an ability to navigate both research-grade algorithms and production constraints. Based in Santa Catarina, Brazil, he brings a rare mix of deep optimization theory and hands-on solver implementation experience.
13 years of coding experience
2 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, Optimization and Algorithms, Master of Science (M.Sc.), Computer Science, Optimization and Algorithms at Universidade Federal Fluminense
Doctor of Philosophy (PhD), Combinatorial Optimization, Doctor of Philosophy (PhD), Combinatorial Optimization at Universidade Federal do Rio de Janeiro
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at Universidade Federal do Tocantins
English, Portuguese