João Brito

Machine Learning Engineer at Factored

São Paulo, Brazil
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Summary

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Senior
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Top School
João 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.
code11 years of coding experience
job5 years of employment as a software developer
bookSpecialization, Data Science, Specialization, Data Science at Instituto Tecnológico de Aeronáutica - ITA
bookUniversity of São Paulo
languagesPortuguese, English, Spanish
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Github Skills (18)

anomaly-detection9
isolation-forest9
machine-learning7
api7
dataframes6
reinforcement-learning-environments6
reinforcement-learning6
data-wrangling5
deep-learning5
dataframe5
golang4
go4
phantomjs3
youtube-dl2
debian2

Programming languages (3)

CSSGoPython

Github contributions (5)

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britojr/diffi

Jul 2020 - Oct 2022

Interpretation of Isolation Forests
Contributions:12 commits, 1 PR, 5 pushes in 2 years 2 months
isolation-forestanomaly-detectiondiffiexplainabilityinterpretability
britojr/kbn

Jan 2017 - Nov 2017

Contributions:155 pushes, 39 branches in 10 months
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