Daniel is the CEO of Recognai, the company behind Rubrix, the open-source framework for data-centric NLP.
Previously he was a researcher the Ontology Engineering Group at Universidad Politécnica de Madrid. During his work at the Ontology Engineering Group, Daniel has participated and led several R&D projects in the fields of linked data and language technologies. During his PhD thesis on Artificial Intelligence (UPM, 2016), Daniel designed, developed and deployed the end-to-end framework powering the datos.bne.es service from the National Library of Spain. Daniel left academia in 2017 to found Recognai, a startup solving unstructured data problems with natural language processing and machine learning.
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How I prefer to work
Remote & Office
Morning
Mostly in a team
Qualities I value in my colleagues
My communication style