Summary
Raposo Brasileiro is a Solutions Architect based in São Paulo with 11 years of hands-on experience building cloud, Big Data and AI systems, currently designing cloud architectures to run and operate predictive models at Unimed BH. A mathematician by training who transitioned through game and systems development into data engineering and ML, he brings rare cross-domain fluency—from embedded C++ and game engines to Java enterprise systems, Spark/Hadoop pipelines, and AWS-native deployments. He teaches NLP, cognitive computing and Big Data, blending academic curiosity with practical production experience and a focus on language models and generative AI grounded in mathematical rigor. Known among peers as a highly self-directed learner and polymathic engineer, he combines a “specialized generalist” mindset with a knack for simplifying complex AI operations for business teams.
11 years of coding experience
8 years of employment as a software developer
Specialization, Mobile development, Specialization, Mobile development at IESB
Machine Learning Engineer Nanodegree, Data Science, Machine Learning Engineer Nanodegree, Data Science at Udacity
Graduation, Mathematics, Graduation, Mathematics at Universidade de Brasília
English, Portuguese