Ariel Coto
About Ariel Coto
Ariel Coto is a Computer Vision Engineer at Signicat, specializing in algorithms for PADs and document image analysis. He has a background in academia and industry, having previously worked as an Assistant Professor at the University of Havana and as a Computer Vision Developer at Electronic IDentification.
Work at Signicat
Ariel Coto currently serves as a Computer Vision Engineer at Signicat, a role he has held since 2023. He works remotely from Madrid, Community of Madrid, Spain, contributing to the company's innovative department. His responsibilities include developing algorithms specifically for Personal Authentication Devices (PADs) and document image analysis, which are critical components of Signicat's digital identity solutions.
Previous Experience in Computer Vision Development
Before joining Signicat, Ariel Coto worked as a Computer Vision Developer at Electronic IDentification (eID) from 2020 to 2023. In this position, he focused on enhancing computer vision technologies, further developing his expertise in the field. His experience at eID was preceded by a role as a Software Developer at umbrellatravel.com in Cuba, where he worked for 11 months in 2019.
Academic Background in Computer Science
Ariel Coto studied Computer Science at the University of Havana, where he earned his degree from 2015 to 2020. He later pursued advanced studies at the Polytechnic University of Valencia, focusing on Pattern Recognition and Digital Imaging. He is currently working towards a Master's Degree in Artificial Intelligence, which he is expected to complete in 2024.
Teaching Experience at University of Havana
Ariel served as an Assistant Professor at the University of Havana from 2020 to 2022. During his two years in this role, he contributed to the academic development of students in the field of computer science, sharing his knowledge and experience in various subjects related to technology and engineering.