João Brito
Machine Learning Engineer at Factored
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolJoão Brito is a Machine Learning Engineer based in São Paulo with 11 years in tech and about 5 years focused on data science, blending production ML with a strong foundation in backend systems. He built anomaly detection models for operations and payments at Itaú and has researched probabilistic models—particularly Bayesian networks and variational autoencoders—during graduate work at Universidade de São Paulo. João’s experience spans industry and education, from maintaining Santander checking-account systems on mainframes to teaching data science and delivering ML at companies like Wildlife Studios, DATAPREV, and now Factored. He brings practical end-to-end skills: research-informed model design, production engineering, and risk-focused ML for financial and large-scale operational contexts. Unusually, his background combines legacy mainframe systems expertise with contemporary probabilistic ML, giving him a rare perspective on reliability and scalability across generations of technology.
11 years of coding experience
5 years of employment as a software developer
Specialization, Data Science, Specialization, Data Science at Instituto Tecnológico de Aeronáutica - ITAUniversity of São Paulo
Portuguese, English, Spanish
Github Skills (32)
interpretation9
loss-functions8
api8
ctr8
anomaly-detection8
reinforcement-learning-environments7
reinforcement-learning7
q-learning6
machine-learning6
agent5
deep-learning5
gymnasium5
pytorch4
modular4
dataframes4
Programming languages (3)
Github contributions (5)
britojr/kbn
Jan 2017 - Nov 2017
Contributions:155 pushes, 39 branches in 10 months
britojr/diffi
Jul 2020 - Oct 2022
Interpretation of Isolation Forests
Contributions:12 commits, 1 PR, 5 pushes in 2 years 2 months
isolationinterpretabilitydiffianomaly-detectionmachine-learning
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