Summary
Roberto Xavier is a researcher and full-stack developer with nine years of experience combining machine learning research and practical software engineering. Holding an M.Sc. in Computer Science (Machine Learning) from UFPA, he builds web systems, APIs and data pipelines that bridge ML models to production using Python, Java Spring Boot, Angular, SQL, Docker and Azure. Currently a Pesquisador Bolsista at Instituto Tecnológico Vale, he brings hands-on experience deploying ML-driven solutions in cloud environments and integrating them into enterprise workflows. His background in bioinformatics and early network engineering gives him a multidisciplinary perspective that helps translate complex data problems into robust, deployable systems.
9 years of coding experience
Mestrado em Ciências da Computação, Aprendizado de Máquina, Mestrado em Ciências da Computação, Aprendizado de Máquina at Universidade Federal do Pará