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Felipe Ramón Fabresse is a software engineer with experience in robotics, natural language processing, and virtual assistant technologies. Felipe is currently the Director of Robotics Master's degree at TECH Universidad Tecnológica, a position they have held since 2022. From 2018 to 2022, they were a Senior Software Engineer at Acurable. From 2014 to 2018, they were a Software Engineer at Intel Corporation, where they were responsible for research and development of natural language understanding and dialogue management systems, and prototyping new machine learning solutions using deep neural networks. From 2013 to 2014, they were a Robotics Researcher at Universidad de Sevilla, where they worked on a PhD research line and applied simultaneous localization and mapping techniques with range-only sensors for the navigation of unmanned aerial systems. From 2011 to 2013, they were a Research Assistant at AICIA (Andalusian Association for Research and Industrial Cooperation) and a Software Engineer at FADA-CATEC. From 2009 to 2011, they were a Software Engineer at Intelligent Dialogue Systems, where they developed and integrated speech recognition systems for multimodal user interfaces and designed and developed a custom web analytics application.

Felipe Ramón Fabresse has a comprehensive education history. Felipe obtained an Engineer's Degree in Computer Science from the Universidad de Sevilla between 2006 and 2011. Felipe then went on to earn a Master's degree in Automation, Robotics and Telematics from the same university between 2011 and 2013. Felipe also obtained a First Certificate in English (FCE) from the University of Cambridge in November 2013. Finally, they earned a Doctorate (PhD) in Robotics, Systems and Unmanned Vehicles. Telerobotics from the Universidad de Sevilla between 2013 and 2016. In addition to their formal education, Fabresse also has several certifications, including a Good Clinical Practices (ICH-GCP) from the Faculty of Pharmaceutical Medicine obtained in November 2019, as well as certifications from deeplearning.ai, Lynda.com, and the Project Management Institute.