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At Aplicaciones Humanas con Inteligencia Artificial (AHIA), I lead projects that infer personality and socio-emotional traits from written text using LLMs and generative AI.

I manage multidisciplinary teams, integrating psychology, data science, and engineering into validated, human-centered products.

My work bridges AI research and applied innovation, turning scientific concepts into real-world tools for education and well-being.

I have directed multiple projects involving AI agents, transformers, and NLP-based recommendation systems.

My experience combines technical leadership, data-driven design, and scientific validation.

Passionate about responsible AI, I focus on creating technologies that enhance human potential and cognitive development.

As CTO at EH, I direct the ultimate technological strategy, fostering a culture of continuous innovation through the integration of emerging technologies. I lead the AI and data science initiatives, spearheading the development of advanced algorithms and machine learning frameworks tailored for health and education. I oversee system architecture and IA and software development in Python, and manage cloud-based infrastructures with Linux systems and scalable data pipelines to support intensive computational workloads and data integrity.

Data scientist and head of development of Medical Data Analysis (MEDAL) research group of the Center for Biomedical Technologies (CTB) of Universidad Politécnica de Madrid (UPM).

- Data Science.

Head of design and implementation of statistical, data mining and machine learning techniques in the development of clinical studies, in the extraction of clinical profiles or for the classification, prediction and analysis of factors and main components of the evolution of diseases, biomarkers or treatments

- NLP System and software architect and developer.

Head of design and development of the NLP system for the recognition of clinical concepts in the electronic health records for the generation of a structured knowledge data base from which to perform retrospective studies applying data analysis techniques.