Pablo Fernández López

Pablo Fernández López has a diverse work experience that spans multiple roles in various companies. Pablo has worked as a Data Scientist at intelygenz since February 2021, where they are responsible for developing solutions for clients, including data analysis and AI implementation. Pablo also serves as a Professor at Universidad Francisco de Vitoria since January 2023, teaching second-grade students about intelligent agents and covering topics such as environment, agent types, search methods, genetic algorithms, adversaries, and complex decisions. Prior to this, they worked as an R&D Engineer at NÚO PLANET from March 2020 to February 2021. Additionally, they worked as a Researcher at Grupo Universitario de Tecnologías de Identificación from March 2016 to March 2020, and as a Co-founder at KeyHole Innovation from December 2014 to March 2016.

Pablo Fernández López completed their education in a chronological order as follows:

From 2017 to 2020, they pursued a Doctorado degree in Ingeniería eléctrica, electrónica y de comunicaciones at the Universidad Carlos III de Madrid.

Between 2015 and 2016, they obtained a Master's degree in Electronic Systems and Applications from the same university, Universidad Carlos III de Madrid.

From 2011 to 2015, Pablo earned a Grado en Ingeniería (Bachelor's degree) in Electronics and automation from the Universidad Carlos III de Madrid.

Lastly, from 1999 to 2011, there is no specific degree or field of study mentioned, but they attended Liceo Europeo during this period.