Summary
Manuel Toral is an AI and MLOps leader with nine years of experience who builds bridges between social-science insight and production-grade machine learning to drive strategic impact across public and private sectors. He founded Coca‑Cola FEMSA’s first R&D function for AI/ML, designing lifecycle standards, governance (MLflow), and a Center of Excellence to scale institutional capabilities. His background in political science and public policy informs work ranging from social-movement network analysis at the Global Fund for Women to fraud and CX models in fintech, enabling him to translate complex models into actionable strategy. A lecturer on ML for public decision making and experienced instructor in R, he is as comfortable teaching text mining as he is operationalizing model handoffs and SLAs. Notably, he combines rigorous qualitative research experience with applied AI, often surfacing the “why” behind data to prioritize high-impact interventions.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Applied Artificial Intelligence, Master of Science - MS, Applied Artificial Intelligence at Tecnológico de Monterrey
Master’s Degree, Public Policy, Master’s Degree, Public Policy at Harris School of Public Policy at the University of Chicago
Study Abroad Semester, Sozialwissenschaften, Study Abroad Semester, Sozialwissenschaften at Humboldt-Universität zu Berlin
Certification of Drug Policy, Health and Human Rights, Certification of Drug Policy, Health and Human Rights at Centro de Investigación y Docencia Económicas A.C.
English, German, Spanish