Rodrigo Lastra

Back End Developer at Tiqets

Rodrigo Lastra began their career as a Programador at GeneXus Consulting in July 2012, where they were responsible for maintaining a critical system using GeneXus 9.0 and 6.1 for a government agency. Rodrigo worked in this role until September 2015.

From September 2015 to April 2019, Lastra worked as an Analista Desarrollador at Atos.

Lastra then joined sophilabs in April 2019 as a Full-stack Developer and remained in this role until March 2021.

In March 2021, they started working at Fashion Cloud as a Software Developer and continued in this position until August 2022.

Currently, Lastra works at Tiqets as a Back End Developer, starting in August 2022.

Rodrigo Lastra completed their education history as follows:

From 2007 to 2019, Rodrigo attended Facultad de Ingeniería, UdelaR in Montevideo, Uruguay, where they obtained an Engineer's degree. The field of study for this degree is unspecified.

During the same period, from 2007 to 2012, Rodrigo also studied at Facultad de Ingeniería, UdelaR, and earned a degree in Analista de Sistemas, with a focus on Ciencias de la Computación (Computer Science).

In addition to their formal education, Rodrigo has acquired various certifications. In 2018, they became an Analista Genexus Senior through GeneXus. Rodrigo has also completed several Coursera courses, obtaining certifications in a range of topics including Convolutional Neural Networks in TensorFlow, DeepLearning.AI TensorFlow Developer Specialization, Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, Natural Language Processing in TensorFlow, Sequences, Time Series and Prediction, Convolutional Neural Networks, Deep Learning Specialization, Sequence Models, Specialization - Deep Learning, Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, and Neural Networks and Deep Learning. Additionally, Rodrigo has taken courses on Building Containerized Applications on AWS, HTML, CSS, and Javascript for Web Developers, and The Data Scientist’s Toolbox, although specific completion dates were not provided for these courses.

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