Daniel Ibáñez is a machine learning and deep learning engineer with extensive experience in natural language processing and AI agents. They served as a Software Development Engineer at Amazon and held leadership roles, including CTO at relevante.me and partner at ApeLucy. Daniel's research contributions currently focus on developing large language models for education at Emergence AI, while also conducting research on Named Entity Linking at dMetrics. They possess a strong educational background with a degree in Computer Engineering from Universidad Carlos III de Madrid.
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