Diego de los Reyes Rodríguez

Diego de los Reyes Rodríguez has a diverse work experience in the field of technology. Diego started their career in 2008 as a Programmer at Indusoft, where they were responsible for developing an intranet system for various departments. In 2008, they joined Dacartec Servicios Informáticos as an Analyst Programmer, focusing on web development using ASP.NET and WAMP/LAMP environments.

In 2011, Diego moved to Anedma and assumed the role of an Analyst Programmer. During their time there, they gained experience in developing and maintaining custom websites using frameworks like Symfony2 and Foundation.

Diego's career progressed when they joined Zennio in 2017. Diego initially worked as a Full Sack Developer, contributing to the development of various projects until 2023. During this time, they also took on additional responsibilities, including coordinating projects and managing a department.

Diego further enhanced their skills by joining Emobotics in 2022 as a Data Scientist intern, where they focused on analyzing and processing health data. Diego worked on the creation of predictive models using Tensorflow with Keras in Google Collab.

Currently, Diego is working at Tucuvi as a Backend Developer, starting in 2023.

Diego de los Reyes Rodríguez received their Master's Degree in Artificial Intelligence from UNIR - La Universidad en Internet from 2021 to 2022. Prior to that, they completed their Bachelor's Degree in Computer Engineering with a specialization in Artificial Intelligence at Universidad Carlos III de Madrid from 2001 to 2008.

In addition to their formal education, Diego has obtained several certifications. In April 2022, they earned the certification for Professional Scrum Master I from Scrum.org. In October 2020, they completed the "Procesamiento del Lenguaje Natural Moderno en Python" course and received a certification from Udemy. In May 2020, they obtained multiple certifications from Coursera Course Certificates, including "Convolutional Neural Networks in TensorFlow," "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning," "Natural Language Processing in TensorFlow," "Sequences, Time Series and Prediction," and "TensorFlow in Practice." In August 2019, they obtained the certification for "Aprendizaje Automático" from Universidad de Stanford on Coursera. Prior to that, in June 2019, they completed the "Machine Learning APIs" certification from Qwiklabs. Finally, in April 2013, they earned the certification for "Arduino Básico" from Fundación General Universidad de Granada.