Summary
Felipe De Souza is a researcher and computational modeler with 11 years of experience applying machine learning and data science to real-world problems, combining a Master's in Computational Modeling with a background in Computer Science. He spent three years as an undergraduate research scholar focusing on bio-inspired metaheuristics like genetic programming and genetic algorithms, and continues this work as a researcher at Universidade Federal de Juiz de Fora. Felipe has commercial experience as a data scientist at Relevo and as a freelance developer, and contributed to a startup’s business plan and fullstack product development. Comfortable across ML research and web full‑stack implementation, he seeks practical tech solutions and has a track record of moving ideas from prototypes to deployed apps. Based in Minas Gerais, Brazil, he blends academic depth with entrepreneurial and interdisciplinary project experience that often bridges research and product.
10 years of coding experience
Master's degree, Modelagem computacional - Sistemas computacionais aplicados, Master's degree, Modelagem computacional - Sistemas computacionais aplicados at Universidade Federal de Juiz de Fora