Rafael Dantas is a Machine Learning Engineering Manager based in São Paulo with a decade of experience building data pipelines and predictive maintenance models for industrial environments. He progressed through technical roles at TRACTIAN from Data Scientist to Engineering Manager, demonstrating a knack for turning sensor data into operational insights that simplify maintenance workflows. With a Computer Engineering background from UFRN, Rafael blends hands-on model development, MLOps infrastructure, and cross-functional leadership to ship reliable production ML. He also has experience applying ML in education and health sectors earlier in his career, reflecting a pragmatic ability to adapt techniques across domains. Colleagues value his combination of technical depth and a product-minded approach to solving real-world industrial problems.
10 years of coding experience
7 years of employment as a software developer
Federal University of Rio Grande do Norte
Técnico em Informática, Informatics, Técnico em Informática, Informatics at IFRN
Contributions:9 pushes, 2 branches in 1 year 6 months
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Rafael Dantas - Machine Learning Engineering Manager at TRACTIAN