Leyre Gulina Royo
About Leyre Gulina Royo
Leyre Gulina Royo is a Computer Vision Software Engineer currently employed at Signicat in Madrid, Spain, where she has worked since 2022. She holds a degree in Telecommunications Engineering from Universidad Pública de Navarra and a Master's in Artificial Vision from Universidad Rey Juan Carlos.
Work at Signicat
Leyre Gulina Royo has been employed at Signicat as a Computer Vision Software Engineer since 2022. In this role, she focuses on developing and implementing software solutions that leverage computer vision technologies. Her work contributes to Signicat's mission of providing secure digital identity solutions. She is based in Madrid, Comunidad de Madrid, España.
Previous Experience at Electronic IDentification
Before joining Signicat, Leyre worked at Electronic IDentification (eID) as a Computer Vision Software Engineer from 2019 to 2021. During her tenure, she contributed to various projects that utilized computer vision technologies, enhancing the company's offerings in digital identity verification. Her experience at eID provided her with valuable insights and skills in the field.
Education and Expertise
Leyre Gulina Royo earned her Grado en Ingeniería en Tecnologías de Telecomunicación from Universidad Pública de Navarra, where she studied from 2012 to 2017. She furthered her education by obtaining a Master Oficial en Visión Artificial from Universidad Rey Juan Carlos, completing the program in 2018. Her academic background provides a strong foundation in telecommunications and artificial vision technologies.
Interest in Artificial Vision Projects
Leyre has a strong interest in projects related to artificial vision. This passion drives her professional work and influences her contributions to the field of computer vision. Her commitment to advancing technology in this area is evident in her career choices and educational pursuits.
Professional Attributes
Leyre is recognized for being highly organized and committed in both academic and professional settings. These attributes have contributed to her success in her roles and her ability to manage complex projects effectively.