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Daniel Ibáñez has a wealth of experience in software engineering, machine learning, and data science. Daniel's career began in 2007 when they worked as a Software Developer and Team Lead for Pentasoft Group. In 2014, they joined Amazon as a Software Development Engineer II. From 2015 to 2021, Ibáñez held a variety of positions, including CTO Partner at ApeLucy, CTO & Software Development Engineer at relevante.me, Senior Backend Software Engineer at Pentasoft Group, Machine Learning Engineer (NLP) at Translation Centre for the Bodies of the European Union, Machine Learning Technical Writer at Baeldung, and Machine Learning Engineer (NLP) at ReadableAI. Most recently, they have been a Senior Machine Learning Engineer (NLP) at Klara, as well as a Data Scientist (Research) at Instituto Complutense de Ciencias Musicales.

Daniel Ibáñez obtained a Technical Engineer Degree in Information Science/Studies from the Universidad Carlos III de Madrid between 2002 and 2007. Prior to that, they obtained a High Grade Teacher in French Horn interpretation from the Real Conservatorio Superior de Música de Madrid between 1994 and 2001. Additionally, Daniel has obtained numerous certifications from various institutions, such as the University of Michigan, LearnQuest, edX, and DeepLearning.AI, between 2020 and 2022.