Orlando Amaral Cejas did his MSc in Digital Systems (2017) at Technological University of Havana (Cuba) on solving the Adaptation of the Chinese Traffic Light Controller HT2000-B to the Cuban Intelligent Transport System. From 2012 to 2017, he worked as a researcher at Integrated Technological Research Complex (CITI) in Havana, where he focused on hardware-software hybrid design, for the acceleration of algorithms, in a joint project in cooperation with different organisations in Cuba. Currently, he is working as a Doctoral Researcher at SnT in Luxembourg and has been working for two years in an international project on requirements quality assurance, data mining from legal texts and model driving engineering. His main research interests lie within the fields of Applied Natural Language Processing, Data Mining and Machine Learning.