Arthur Gorgônio is a data science researcher and Systems & Computation PhD candidate at UFRN with nine years of experience building and maintaining production ML systems and automation tools. He has hands-on experience deploying real-time prediction pipelines, monitoring for concept and data drift, and updating models to preserve accuracy in streaming environments. Previously a developer and QA engineer at Topaz, he automated document processing, built cross-platform apps and testing frameworks, and introduced BDD to reduce manual testing. Based in Rio Grande do Norte, Brazil, he blends academic rigor with practical engineering—often translating research insights into tools that streamline team workflows and decision-making.
Contributions:19 commits, 13 pushes, 2 branches in 1 year 11 months
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