Professional career
Career, skills, and enterprise projects
699+
Academic citations
13 publications
International journals and conferences
9+ years
In the tech industry
T-Systems Iberia
Head of AI Engineering
Skills
AI & NLP
Engineering
Cloud & MLOps
Data & Analytics
Teaching & Communication
Leadership & Management
Certifications
Professional Cloud Machine Learning Engineer
Google Cloud · 2023
Deep Learning Specialization
deeplearning.ai · 2022
MLOps
Duke University · 2023
Azure AI Fundamentals (AI-900)
Microsoft · 2022
Professional Scrum Master I (PSM I)
Scrum.org
ITIL 4 Foundation
Axelos
Experience
Head of AI Engineering & AI Chapter Lead
T-Systems Iberia2022 — Present
Leading the Artificial Intelligence chapter at T-Systems Iberia. Corporate AI strategy definition, model governance, and enterprise solution delivery. Responsible for LLM evaluation and adoption, RAG architecture design, agentic systems, and MLOps pipelines. Managing cross-functional teams and liaising with technical and business stakeholders.
PhD Researcher
UNED — NLP & IR Group2021 — Present
Doctoral research on automated media bias detection. Author of a systematic review published in Expert Systems with Applications (165+ citations). Creator of the MBBMD dataset, the first multimodal benchmark for bias detection in Spanish. LLM benchmarking (GPT-4, Claude, Llama) on bias detection tasks. Contributor to the Humanity's Last Exam paper published in Nature (483+ citations).
AI Consultant
NewsGenie Inc.2024 — Present
AI consulting for NewsGenie, focused on the design and development of NLP solutions for automated content moderation in media. Applying language models and classification techniques for detecting problematic content at scale.
Associate Lecturer
EDIAE2023 — 2024
Teaching in artificial intelligence, data science, and machine learning training programs. Course material and hands-on exercise design. Training in Python, NLP, deep learning, and LLM usage for technical and business profiles.
Senior Software Engineer
T-Systems Iberia2017 — 2022
Development of cloud solutions and enterprise applications for private and public sector clients. Microservices architecture, REST API design, system integration, and DevOps. Technical leadership of development teams. Migration of monolithic applications to cloud-native architectures on AWS and Azure.