Gabriel Milan is a data and AI leader with eight years of experience bridging academic research and public-sector technology delivery in Rio de Janeiro. Currently Diretor de Dados e IA at IplanRio and an associate member of Base dos Dados, he has led cloud, data engineering, and technology teams at the Prefeitura do Rio while sustaining an active R&D role at LASPI-UFRJ. His background in mechanical technical training and a degree in computer engineering informs a pragmatic, systems-oriented approach to ML and signal processing problems—work that began with passive sonar research and extended to collaborative projects with CERN. Gabriel combines hands-on engineering, public data stewardship, and academic rigor, often translating research prototypes into municipal-scale data products. He is comfortable operating at the intersection of policy and engineering, deploying data platforms for urban services while mentoring research teams. Notably, his trajectory spans factory-floor internships to city-wide data strategy, reflecting an uncommon blend of industrial, academic, and government experience.
8 years of coding experience
5 years of employment as a software developer
Bacharelado em Engenharia, Engenharia de Computação e Informação, Bacharelado em Engenharia, Engenharia de Computação e Informação at Escola Politécnica da UFRJ
Master's degree, Engenharia de Sistemas e Computação, Master's degree, Engenharia de Sistemas e Computação at UFRJ - Universidade Federal do Rio de Janeiro
Técnico, Mecânica, Curso realizado no Colégio Técnico de Limeira (COTIL), Técnico, Mecânica, Curso realizado no Colégio Técnico de Limeira (COTIL) at Universidade Estadual de Campinas
Akuanduba is a Python framework that eases manipulation of multiple running threads and shared resources. Its name was inspired by a god of the Brazilian mythology: Akuanduba, the god of order.
Contributions:10 releases, 1 PR, 37 pushes in 1 year 7 months
manipulationpythonmultiprocessingframeworkgod
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