Welcome to my personal website. I am an Associate Professor at the Department of Languages and Information Systems at UNED and a senior researcher at the NLP & IR Research Group.

My work bridges academic research and industrial application through the technical leadership of production-grade AI platforms. I am the lead architect and technical coordinator of the main applications within the ODESIA initiative (funded by Red.es), including the Spanish NLP Portal (ODESIA Portal) and the AI Model Leaderboard (ODESIA Leaderboard), both designed to support large-scale benchmarking and informed decision-making around LLMs. I am also the principal lead of EvALL, a specialized service for the comprehensive evaluation of Information Systems, with a strong focus on language technologies. In addition to leading the platform, I am the main developer of PyEvALL, the evaluation framework powering EvALL and enabling reproducible, extensible, and fine-grained assessment of AI systems.

My current research and development focus on Human-Centric AI (HCAI) and the design of advanced RAG (Retrieval-Augmented Generation) architectures to improve the reliability and factual accuracy of generative models. Through the ANNOTATE project, I also work on detecting sexism and bias in multimedia environments.

I am actively open to industrial collaborations, technical consulting, and R&D partnerships—specifically in LLM implementation, RAG optimization, and AI fairness auditing.

I help organizations deploy reliable, auditable, and high-performing language technologies when off-the-shelf AI is not enough. My work bridges state-of-the-art NLP research and business-critical deployment, especially in high-risk, multilingual, or regulated environments.

I have served as technical lead and Principal Investigator in competitive R&D projects for over six years, coordinating multidisciplinary teams and delivering results in large-scale public and industry-funded initiatives. Previously, I worked as a Systems Analyst at SATEC, gaining hands-on experience with enterprise IT environments and real-world deployment constraints.

Proven Impact

• Large-scale Benchmarking: Technical lead of the 2.1M€ ODESIA initiative (Red.es), conducting exhaustive benchmarking of AI systems to quantify performance gaps between English and Spanish, providing evidence to support strategic decisions in public procurement and AI policy.
• Reputation Analytics: Collaborated with LLYC (Llorente & Cuenca) within the European LIMOSINE project, enabling early detection of reputational risk and public discourse trends at scale.
• Principal Investigator: Lead researcher in multiple competitive R&D projects on Human-Centric AI, LLM evaluation, and Social Media Mining, including the 500k€+ ANNOTATE project.

Technical Expertise

• Advanced RAG Systems: Design and optimization of Retrieval-Augmented Generation architectures to ensure factuality, traceability, and secure AI deployment.
• AI Evaluation & Benchmarking: Rigorous assessment of LLM capabilities, focusing on robustness, bias, multilingual degradation, and real-world performance.
• Social Media Intelligence: Large-scale data mining for online reputation, narrative detection, and trend analysis.
• Safety & Ethics Auditing: Detection of hate speech, propaganda, sexism, and algorithmic bias to support compliance and risk mitigation.

Collaboration Models

• Technical Consulting: Expert advice on AI strategy, RAG implementation, and LLM evaluation.
• Joint R&D Projects: Innovation partnerships through University–Industry transfer contracts (Art. 60 LOSU).
• Industrial PhDs: Development of deep-tech solutions leveraging public funding schemes and tax incentives.

Interested in a partnership?
Initial conversations are exploratory and non-binding.
Contact me via email to discuss how advanced NLP can support your organization’s needs.