Tiago De Faria is a data scientist and machine learning engineer with a master's in artificial intelligence and a decade of hands-on experience building production-ready ML pipelines and explainable models. He has delivered end-to-end solutions—from PySpark and Apache NiFi data pipelines and Kedro reproducible workflows to model monitoring with WhyLogs and automated testing with pytest/GOCD—most recently contributing as a data scientist at Petrobras. His academic work produced an XAI-driven classifier for microscopic cancer images, blending interpretability tools (SHAP, LIME, Anchors) with rigorous data preprocessing and statistical feature selection. Tiago pairs research-grade model development with practical engineering optimizations (including speedups up to 90% in optimization systems) and a background in front-end prototyping, giving him a rare full-stack perspective on ML productization.
10 years of coding experience
4 years of employment as a software developer
Mestrado em Ciências da Computação, Artificial Intelligence, Mestrado em Ciências da Computação, Artificial Intelligence at UFU - Universidade Federal de Uberlândia
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