Antonio Ruby Barreto

Antonio Ruby Barreto has a diverse work experience, with their most recent role being as a Senior Data Engineer at Fastned since May 2022. Prior to that, they worked as a Senior Software Engineer at Anchormen from January 2020 to May 2022, where they focused on designing, developing, and training data-driven solutions for machine learning, data science, and artificial intelligence. Antonio also worked with public cloud systems such as Azure and AWS to implement big data pipelines and continuous integration and delivery of machine learning models.

Before joining Anchormen, Antonio worked as a Senior Software Engineer at TomTom from July 2018 to December 2019. In this role, they were involved in the development of a shared core product used in automotive and mobile solutions. Antonio focused on designing clean and performant code and creating software APIs for portability.

Antonio has also worked at I.Systems S.A. as a C++ Developer in Industrial Control from November 2015 to May 2018. Antonio started as an intern and progressed to become the lead engineer, overseeing a 1-year project for a new intelligent production line control product. In this role, they developed and maintained software for real-time advanced control of industrial processes.

In addition, Antonio worked as a Python Developer in Computer Vision at TecSinapse from August 2014 to August 2015. Antonio was involved in researching and developing a product based on artificial vision technology, and they designed and implemented a Python back-end for video stream processing.

During their time at UNICAMP, Antonio worked as a Computer Vision Researcher from August 2013 to July 2014. Antonio also served as a Scientific Initiation Researcher from August 2009 to July 2010, where they studied the Discrete Element Method and developed an application for the simulation of soil-structure interaction.

Antonio's early work experience includes serving as an Incident Management Intern at Gemalto from July 2012 to December 2012. In this role, they researched and implemented an active monitoring solution for business-critical IT systems.

Overall, Antonio Ruby Barreto has a strong background in software engineering, with expertise in data engineering, machine learning, computer vision, and industrial control.

Antonio Ruby Barreto obtained a Master's Degree in Ingénieur Généraliste with a field of study in Génie Informatique from CentraleSupélec, where they studied from 2010 to 2013. Before that, from 2008 to 2016, they pursued a degree in Automation and Control Engineering at Universidade Estadual de Campinas.

In addition to their formal education, Antonio also acquired several certifications. In July 2012, they completed the "Machine Learning" course offered by Andrew Ng on Coursera. In September 2017, they obtained certificates for the courses "Structuring Machine Learning Projects," "Neural Networks and Deep Learning," and "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," all provided by Coursera Course Certificates. Antonio's most recent certification, the "Microsoft Certified: Azure Fundamentals," was obtained in June 2020 from Microsoft.