Zaragoza, Aragon, Spain
I am a Machine Learning Engineer at Collate with a Ph.D. in Natural Language Processing from the University of Copenhagen. I specialized in topics of Social Biases and Fairness in Language Models, applications of LLMs, and the use of Knowledge Graphs to enhance LLM's knowledge.
Building Agentic AI
- Leading the design and development of RAG solutions tailored to client requirements, from use case design to deployment. - Direct, hands‑on involvement in various LLM‑based projects, such as building agents and model compression.
Advised by Prof. Anders Søgaard. My PhD work is focused on Natural Language Processing. I research on social bias and fairness implications of language models and multimodal models. I'm also interested in the integration of knowledge graphs and large language models as RAG systems
My research focused on improving LLMs' performance with information from knowledge graph embeddings (developed as a sort of RAG system). I developed a solution that embedded knowledge graph nodes and injected them directly into the LLM to guide its response generation. For further details, refer to our paper "MEG: Medical Knowledge-Augmented Large Language Models for Question Answering" (https://arxiv.org/abs/2411.03883) Tech: Python, PyTorch, AWS