Edesio Alcobaça is a Lead Data Scientist with a decade of experience applying AI to real-world problems, currently shaping Nubank's LLM Platform and RAG capabilities to improve information retrieval and product scalability. He combines technical leadership across Anti-Money Laundering, legal compliance analytics, and cross-functional platform work with a strong academic background as a Ph.D. candidate and published researcher in automated machine learning. A former data science professor at USP, he brings both pedagogy and hands-on research—having developed meta-learning and AutoML techniques—to mentor teams and design robust production systems. Passionate about open source and agile methods, he excels at translating complex research into operational AI solutions that reduce risk and accelerate global product expansion.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science and Computational Mathematics, Doctor of Philosophy - PhD Computer Science and Computational Mathematics at USP - Universidade de São Paulo
Visiting Researcher Machine Learning, Visiting Researcher Machine Learning at Universidade do Porto
Contributions:4 pushes, 1 branch in 3 years 10 months
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