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Fernando Carabedo has a diverse work experience in the field of education and research. Fernando started their career as a Teaching Assistant at the University of Buenos Aires in 2013 and has since worked in various educational institutions. In 2016, they joined CNEA as a Researcher and remained in that role until 2022. In 2020, they became a Data Science Professor at Digital House, and in 2022, they took on the role of Full Stack Professor at ITBA Escuela de Innovación. Currently, they are also a Professor of Data Science at Coderhouse.

Fernando Carabedo obtained a Licentiate degree in Physics from the University of Buenos Aires, where they studied from 2008 to 2016. Additionally, they have obtained several certifications, including a Deep Learning Specialization from Coursera in September 2020, and an Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning certification from deeplearning.ai, also obtained in September 2020. Fernando has also completed certifications in Convolutional Neural Networks and Sequence Models from deeplearning.ai, although the specific months and years of completion are not provided.