Luis Angel Garrido Platero
About Luis Angel Garrido Platero
Luis Angel Garrido Platero is a Senior Engineer specializing in Machine Learning at EcoVadis in Barcelona, with extensive experience in research and development across various institutions.
Title
Luis Angel Garrido Platero holds the position of Senior Engineer (Machine Learning) at EcoVadis. He is based in Barcelona, Cataluña, España, working in a hybrid capacity.
Current Role at EcoVadis
Luis Angel Garrido Platero currently works at EcoVadis, where he serves as a Senior Engineer specializing in Machine Learning. His role involves leveraging machine learning techniques to address various business challenges and optimize processes for the firm.
Previous Experience at Iquadrat
Before his role at EcoVadis, Luis worked at Iquadrat as a Senior Researcher from 2020 to 2023. During his tenure, he contributed to a project focused on optimizing machine learning algorithms for large-scale data processing.
Academic Background
Luis Angel Garrido Platero holds a Doctor of Philosophy (PhD) in Computer Science from Universidad Politécnica de Cataluña, earned between 2014 and 2019. He also earned a Master of Science (M.Sc.) in Electrical Engineering and Computer Science from National Chiao Tung University between 2011 and 2013. His undergraduate studies were completed at Universidad Tecnológica de Panamá, where he obtained a Bachelor of Engineering (B.Eng.) in Electronics Engineering and Telecommunication from 2005 to 2010.
Research and Publications
While at the Barcelona Supercomputing Center, Luis published a research paper on parallel computing systems. He also presented findings on advancements in electrical engineering at a conference in Taiwan, contributing valuable insights to the field.
Early Career as a Programmer and Research Assistant
Luis's early career included roles such as Programmer at Casa de Desarrollo Level, S.A. from 2013 to 2014, and Research Assistant at Universidad Tecnológica de Panamá from 2007 to 2011. These roles laid the foundation for his expertise in both programming and research.