Summary
Renan Mendes is a Machine Learning Engineer and assistant professor with a Ph.D. in Mathematical and Computational Modeling and a decade of experience building and teaching AI systems from Minas Gerais, Brazil. Since 2020 he has applied ML and MLOps at Blip while lecturing postgraduate courses in NLP, deep learning frameworks, and generative networks at PUC Minas. His research bridges evolutionary computation, multi-objective optimization, and dimensionality reduction with practical problems like vehicle routing and AI agents, reflecting a rare combination of theory-driven modeling and production deployment. Comfortable moving between research and engineering, he brings industrial engineering instincts to optimize real-world systems and curricula alike.
9 years of coding experience
1 year of employment as a software developer
Bachelor's in Information Systems, Bachelor's in Information Systems at Universidade FUMEC
PhD, Mathematical and Computational Modeling, PhD, Mathematical and Computational Modeling at Centro Federal de Educação Tecnológica de Minas Gerais
Industrial Engineering, Industrial Engineering at Universidade Federal de Ouro Preto
English, Spanish