Júlio Albinati has a strong background in computer science and machine learning, with a Master’s degree from Universidade Federal de Minas Gerais. Initially, Júlio worked as a Research Assistant at both Universidade Federal de Minas Gerais and the University of Alberta. Subsequently, Júlio held various roles at Microsoft, starting as an Applied Scientist contributing to the Email Triage Science team and later as a Software Engineer within the Microsoft EDU organization, focusing on an API for educational systems. Currently, Júlio serves as a Machine Learning Engineer at Meta and has experience developing an epidemiological early warning system for dengue fever as a MSc student, showcasing a blend of research and practical engineering expertise.
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