AC

Antonio Collazos Carrera

Ingeniero de software Senior at Barbara IoT

Antonio Collazos Carrera has a long and varied work experience. Antonio began their career in 2008 as a Becario at Sadiel. In 2009, they became a Becario at Universidad Rey Juan Carlos. In 2010, they were a Becario de Investigación at Universidad Rey Juan Carlos, working on a project called "Bus Seguro" which involved the creation of a system of artificial vision for the automatic detection of objects abandoned in buses. In 2012, they were a Programador at InteoMedia Mobile, where they worked on the integration, design, and development of a distributed surveillance system based on tracking, using Visual Studio in C++ with OpenCV libraries for image processing, QT 4.7 and QTCreator for the graphical user interface, Boost ASIO for communication between nodes, and libcurl for communication with Ethernet cameras. In 2013, they were an Ingeniero de Proyecto at Randstad Technologies S.A.U., where they worked on the maintenance and extension of a command and control system for alert visualization and management of various communication equipment, as well as the maintenance and extension of a distributed system for message capture, processing, and distribution. In 2014, they became an Ingeniero de Proyecto at GTD, where they worked on a defense sector project. From 2021 to 2022, they were a System & SW Engineer at GTD Defence & Securiy Solutions, where they worked on a research and development project involving machine learning and artificial vision in Python/C++, configurable via web interface. Currently, Antonio Collazos Carrera is an Ingeniero de Software Senior at Barbara IoT.

Antonio Collazos Carrera completed their education in 2011 with a Master of Official in Vision Artificial from the Universidad Rey Juan Carlos. Prior to that, they obtained an Ingeniero en Informática in 2010 and an Ingeniero Técnico en Informática de Sistemas in 2009, both from the same university. In March 2020, they also obtained a certification in Machine Learning with TensorFlow from OpenWebinars.

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