Rémi Gourdon

Rémi Gourdon has a diverse range of work experience in engineering and research roles. Rémi started their career in 2016 as an Electrical Engineering Intern at ISAE-SUPAERO, where they worked on the preliminary design of an onboard computer for a nanosatellite mission. Rémi developed a hybrid architecture and tested it on a sounding rocket.

In 2017, Rémi worked as a Computer Vision Intern at Earthcube, where they focused on hardware and software for aerial thermal imagery. Rémi also developed desktop utilities and a field test data processing application.

Rémi then joined the Georgia Tech Research Institute in 2018 as a Graduate Research Assistant. As part of their Master's Thesis, they conducted research on deep learning applications in computer vision for robotics. Rémi'swork involved 6D pose estimation from RGB-D input using Tensorflow, OpenCV, and Python scientific libraries.

Currently, Rémi is working at Lynk since 2019. Rémi initially started as an Electrical and Software Engineer, and later transitioned to the role of Lead Ground Systems Engineer.

Throughout their career, Rémi has demonstrated their expertise in electrical engineering, software development, computer vision, and deep learning.

Rémi Gourdon pursued a DUT GEII degree in Electrical Engineering and Industrial Computing from Université d'Angers from 2012 to 2014. In 2014, they completed an exchange semester at Halmstad University, where they studied Computer Systems Engineering, Object Oriented Programming, and Web Fundamentals. From 2014 to 2017, Rémi obtained a Master of Engineering (MEng) degree in Electrical and Electronic Engineering from Toulouse INP. In 2015, they attended the International Space University's Space Studies Program, focusing on Aerospace, Aeronautical and Astronautical/Space Engineering. Lastly, Rémi pursued a Master of Science (MS) degree in Electrical, Electronic, and Communication Engineering from the Georgia Institute of Technology from 2017 to 2018.