Paula Agregán Reboredo has a total of three work experiences.
Paula worked at Sensia-Solutions as a GaSeS project engineer, starting in April 2017. Their role involved algorithms development in the field of image processing, specifically in infrared images using Qt and C++ with the OpenCV library. Paula also developed algorithms for NVIDIA graphics cards using the CUDA programming language.
Prior to that, Paula worked at CENVAL, S.L. as an embedded system developer from February 2014 to March 2017. Their responsibilities included embedded software development in C and Python, implementation of radio protocols to communicate with different radio modules, and firmware development in C for Microchip PIC18.
Before joining CENVAL, S.L., Paula had an internship at Gradiant from October 2012 to January 2013. Paula worked in the field of image processing, conducting tests to validate and measure the efficiency of various video analysis algorithms.
Paula Agregán Reboredo attended Universidade de Vigo from 2006 to 2010, where they obtained a Bachelor's degree in Telecommunications, with a specialization in Image and Sound. Following this, they continued their education at the same university from 2010 to 2013 and completed a degree in Telecommunications Engineering, focusing on Digital Signal Processing and Radiocommunications. Additionally, in January 2017, they received a certification in Object Detection from Coursera Course Certificates.
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