Jean Tomé is a Staff AI Engineer and technical leader with nine years of experience building production-grade ML and GenAI systems across cloud-native architectures and industrial applications. He has led data science teams from ground-up strategy to MLOps—delivering high-impact products like recommender and antifraud systems that generated significant operational savings and risk reduction. Jean specializes in agentic workflows, hybrid RAG, and Azure Durable Functions to create scalable, measurable, and cost-effective GenAI solutions for enterprise clients and private equity accounts. His background in control and automation engineering (M.Sc. in Machine Learning, mechatronics undergraduate) informs practical solutions for smart factories, predictive maintenance, and embedded AI on edge/mobile devices. As a managing partner and independent contractor he blends pre-sales, architecture, and hands-on delivery to translate business needs into deployable AI products. Colleagues describe him as a pragmatic technologist who turns complex research into reliable, production-ready systems.
9 years of coding experience
11 years of employment as a software developer
Engineer's degree Mechatronics Robotics and Automation Engineering, Engineer's degree Mechatronics Robotics and Automation Engineering at Polytechnic School of UFRJ
Master of Science - MS DataScience Machine Learning, Master of Science - MS DataScience Machine Learning at Federal University of Rio de Janeiro
Contributions:10 commits, 26 pushes, 1 branch in 1 year 5 months
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