Summary
Daniel Zapata is a Senior Data Scientist with nine years of experience applying MLOps and LLMOps to industrial and commercial problems, currently driving Generative AI and deployment strategy at CEMEX in Monterrey. He has led end-to-end projects—from customer purchase prediction and procurement text classification to RAG-based chatbots and agent frameworks—that delivered measurable impact such as a 15% uplift in platform adoption and material cost optimizations. Daniel combines deep academic training (BSc IT, MSc in AI) with hands-on engineering: building production pipelines, vector retrieval systems, and React-based agents integrated into Microsoft Teams. He defined MLOps and GenAI standards at scale for a global organization, bridging research, data engineering and product teams to make models reliable and auditable. Comfortable across startups, consultancy, and heavy-industry contexts, he brings a practical knack for translating unstructured text and safety knowledge into actionable systems that improve operations and compliance.
9 years of coding experience
4 years of employment as a software developer
Postgraduate Master Artificial Intelligence, Postgraduate Master Artificial Intelligence at The University of Edinburgh
Bachelor of Science (BSc) Information Technology, Bachelor of Science (BSc) Information Technology at Tecnológico de Monterrey
UPC Universitat Politècnica de Catalunya
Spanish, English, Italian, Japanese