Rafael Monteiro is a Senior Software Engineer with 11 years of experience building data platforms and backend systems, currently at Nubank after progressing from Data Platform Engineer roles. He combines a strong academic background from USP and hands-on research in NLP and fake-news detection with industrial experience in Python, Java, PySpark, Airflow, Kafka and Kubernetes. Rafael has driven integrations, metadata tooling and DataHub extensions at scale, and earlier worked across full-stack Clojure services and microservices in Kotlin and Django. As founder and first president of USPCodeLab Sanca, he brings initiative and a track record of translating research prototypes into production-grade data pipelines. Notably, his Nilc-FakeNews research produced published models and an online demo, reflecting a rare blend of applied ML research and production data engineering.
11 years of coding experience
8 years of employment as a software developer
Bacharelado Ciência da Computação, Bacharelado Ciência da Computação at Instituto de Ciências Matemáticas e de Computação (ICMC) - USP
FakeNilc is a set of tools written in python3 to train Machine Learning models for fake news detection. Models trained using this mini-framework are being used in our website and in a whatsapp bot. More info in our website:
Contributions:62 commits, 2 PRs, 52 pushes in 2 years 1 month
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