Summary
Ángel Segura is a Data & AI Architect with a decade of experience designing cloud-native, scalable MLOps and LLMOps solutions across Azure and AWS for enterprise clients. He blends academic rigor—a PhD-level research background and multiple publications—with hands-on engineering, having led speech analytics, agent-based projects, and end-to-end ML production pipelines. As AI Architect and Specialist Lead at SDG Group and now at Nationale-Nederlanden, he focuses on automation, model lifecycle resilience, and practical data modelling improvements that have produced measurable performance gains. He also teaches postgraduate AI and data science courses, bridging theory and industry practice while mentoring the next generation of practitioners. Less obvious: he has built research-grade tooling (Extremo) and used psychometric-style evaluation to validate UI/UX and modelling experiments, demonstrating an unusual mix of research methods and product-minded delivery.
10 years of coding experience
Doctorado en Ingeniería Informática y de las Telecomunicaciones, Ingeniería informática, Doctorado en Ingeniería Informática y de las Telecomunicaciones, Ingeniería informática at Universidad Autónoma de Madrid
Computer Science, Erasmus Programme, Computer Science, Erasmus Programme at Wrocław University of Science and Technology
Máster in International Business Administration and Languages, Business Administration and Management, General, Máster in International Business Administration and Languages, Business Administration and Management, General at Universidad de Almería
Spanish, English