Juan Ignacio Rey

Juan Ignacio Rey has a diverse work experience spanning from 2013 to 2023. Juan Ignacio started their career as a Full Stack Developer at Tencin21 in 2013, specializing in the creation of eCommerce portals and utilizing graphic tools and technologies such as Photoshop, Illustrator, JS, Drupal, and PHP. From 2015 to 2020, Juan worked as a Docente de Robótica and Docente de Desarrollo de Videojuegos at the Instituto de Educación No Formal - UTN FRA. In 2017, they also served as a Docente en ‘Tecnología y Robótica’ at Instituto Bet El y Colegio IONA. Juan then transitioned to a role as a Técnico de soporte PC, providing technical support, from an unknown start date until 2021. Juan Ignacio then worked as a Full Stack Web Developer from 2020 to 2022, providing consultation and developing solutions for clients. In 2022, Juan joined uTest as a QA Automation Engineer, focusing on requirements analysis, designing and executing test cases, issue analysis, debugging, and reporting. Currently, they are employed by Cargo Produce as a QA Automation Engineer.

Juan Ignacio Rey attended the Universidad Abierta Interamericana from 2018 to the present. Juan Ignacio obtained a degree in Analista de Sistemas Informáticos with a field of study in Ingeniería de sistemas.

In addition to their degree, Juan Ignacio Rey has also obtained various certifications. In November 2022, they completed the "BPMN para Analistas y Arquitectos de Negocios" course from Udemy. In September 2022, they completed the "Análisis y Diseño de Casos de Pruebas" course from EducacionIT. In August 2022, they completed the "Curso de Bootstrap 5" from Platzi. In July 2022, they completed multiple courses including "Curso Básico de JavaScript," "Curso Profesional de Git y GitHub," "Curso Práctico de Frontend Developer," "Curso de Closures y Scope en JavaScript," "Curso de Frontend Developer," "Curso de Frontend Developer," and "Curso de Introducción a la Automatización de Pruebas" from Platzi.

Furthermore, in March 2021, Juan Ignacio Rey completed the "Curso de TensorFlow.js" from Platzi.