Raphael Ballet is a founder and seasoned ML engineer with 11 years’ experience building production-grade recommendation, ranking and data infrastructure for companies like Expedia, Meta and Brazilian scale-ups. He now leads Dipolo AI, helping Brazilian firms fix brittle data foundations so AI projects succeed — a focus born from seeing model failures trace back to untrusted data, missing business rules and tacit institutional knowledge. He has led reinforcement learning and ranking teams serving millions of users, built data platforms (Hive/Presto/Trino) from the ground up, and shipped systems across backend, front-end and infrastructure domains. With an MSc in Aerospace Systems and Mechatronics from ITA, Raphael blends rigorous engineering and research instincts with a pragmatic product-first view: the best ML is the one that actually solves user problems, often by addressing issues that arise long before model training.
11 years of coding experience
10 years of employment as a software developer
Master's degree Aerospace Systems and Mechatronics, Master's degree Aerospace Systems and Mechatronics at Instituto Tecnológico de Aeronáutica - ITA
Bachelor of Engineering (B.E.) Control and Automation (Mechatronics) Engineering, Bachelor of Engineering (B.E.) Control and Automation (Mechatronics) Engineering at Centro Universitário do Instituto Mauá de Tecnologia
Repositório dos alunos e instrutores da turma 012018 de Data Science & Machine Learning for Business da Tera
Contributions:2 PRs, 12 pushes, 8 branches in 10 days
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Raphael Ballet - Founder at Centro Acadêmico Santos Dumont - CASD