Matheus Stauffer is an AI Engineer with nine years of experience blending academic research and industry delivery, currently pursuing an MSc in Machine Learning and NLP. He designs and ships end-to-end ML and data pipelines—especially for NLP—moving solutions from annotated corpora and research prototypes into production using Python, Airflow, Docker, and modern deep learning frameworks. At EtherCity he improved text-classification and entity-detection accuracy while later shifting to data engineering to cut processing errors and speed delivery through robust pipelines and team mentorship. His background includes building domain-specific NER tools for Brazilian government publications (95% F1) and a patented risk-management system, showing a capacity to translate complex, regulated requirements into practical systems. Colleagues value his collaborative, empathetic approach and his passion for teaching and writing, which he uses to share knowledge across research and product teams.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MSc, Computer Science, Master of Science - MSc, Computer Science at Universidade de Brasília
Contributions:28 PRs, 28 pushes, 1 branch in 2 years
reactnode-mongodbexpressnodejsreact-node
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