Summary
Edson Bollis is a researcher and AI engineer with a decade of industry experience and fifteen years in software development, combining deep academic training—a PhD in Machine Learning and a Master's in Software Engineering from UNICAMP—with practical data science roles at Itaú Unibanco and research work at Recod.ai. He specializes in Python-based ML (Random Forest, XGBoost, feature selection, HPO) and the development of deep neural networks and generative AI, consistently following and implementing emerging research trends. His background in mathematics and early career full-stack and mobile development gives him a strong foundation in production engineering and data collection systems used in real-world deployments. Comfortable moving between research and applied product teams, he brings a pragmatic approach to turning novel ML ideas into robust, scalable solutions. Based in São Paulo, he blends academic rigor with enterprise impact, often bridging gaps between cutting-edge models and business-driven data products.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Software Engineering, Master, Master's degree, Computer Software Engineering, Master at Universidade Estadual de Campinas / UNICAMP
Bachelor's degree, Computer Science, Degree, Bachelor's degree, Computer Science, Degree at Universidade Estadual Paulista Júlio de Mesquita Filho / UNESP
PhD, Computer Science, Doctorate, PhD, Computer Science, Doctorate at Universidade Estadual de Campinas
Portuguese, English