Arthur Paulino is a founder and computer scientist with 10 years of experience bridging machine learning, formal methods, and applied data science from Brazil. He built and productionized ML pipelines and real-time fraud models at Nubank, then launched Verascio to explore verifiable computing and succinct cryptographic proofs of knowledge. His open-source work spans statistical tooling in Python (notably adding chi-squared tests to pingouin) and deep formalization in Lean’s math libraries, reflecting expertise in both practical statistics and theorem proving. Arthur’s background in optimization and AI (MSc) and hands-on roles from Android security to enterprise data products give him a rare blend of mathematical rigor and production engineering. Notably, he contributes to core mathlib development, showing commitment to long-term, high-integrity codebases beyond typical data-science work.
10 years of coding experience
6 years of employment as a software developer
Mestrado em Ciência da Computação Inteligência Artificial, Mestrado em Ciência da Computação Inteligência Artificial at Federal University of Ceara
Ensino Médio Matemática Física Química e Português, Ensino Médio Matemática Física Química e Português at Instituto Dom Barreto
Contributions:62 reviews, 30 commits, 38 PRs in 1 year 1 month
Contributions summary:Arthur contributed to the core math library of Lean 4 by adding, adapting, and refactoring code related to mathematical structures, functions, and data types such as equivalences, lists, and functors. They made improvements by removing or adding simplification marks, adapting names, and filling gaps in the logic. The user also migrated lemmas and refactored code, demonstrating a focus on code quality and library completeness.
Lean 3's obsolete mathematical components library: please use mathlib4
Role in this project:
Back-end Developer & Theorem Prover
Contributions:25 reviews, 36 commits, 27 PRs in 6 months
Contributions summary:Arthur contributed to the `mathlib3` mathematical components library, focusing on formal mathematics and theorem proving. The commits involve adding and refactoring code related to simple graphs, specifically matchings, coloring, and subgraph definitions, demonstrating expertise in the mathematical domain of graph theory. The contributions show a deep understanding of formal methods, as the user is making modifications to support the formalization of mathematical concepts and theorems within the Lean 3 environment. Moreover, the changes reflect an active role in the development of the library itself.
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