Nadir Trapsida

Co-founder & AI Lead at Queva

Nadir Trapsida has a diverse work experience that spans from 2018 to the present. Nadir is currently serving as the Co-Founder & AI Lead at Queva since September 2022. Prior to this, from February 2022 to June 2022, they worked as a Research Assistant at LIV (Laboratory on Intelligent Vehicles) at the Université de Sherbrooke. From May 2021 to August 2021, Nadir worked as a Researcher Software Dev. Intern at CRIM. At Décahtlon Canada, they held multiple roles, including Data Scientist / Computer Vision Engineering from January 2021 to April 2021, and a Computer Vision Engineering Intern from September 2020 to January 2021. From September 2019 to April 2021, at VAMUdeS, they served as an AI Leader. Nadir also has experience as a Solution and Integration Engineering Intern at Kontron, where they worked from May 2019 to August 2019, and from September 2018 to December 2018. In between, from January 2018 to May 2018, they worked as a Charging Station Leader at VÉNUS. Throughout their work experience, Nadir has acquired skills in areas such as AI, computer vision engineering, data science, software development, and server maintenance.

Nadir Trapsida has a strong educational background in the field of computer engineering and artificial intelligence. They obtained a Master's degree in Artificial Intelligence from the Université de Sherbrooke, starting in 2022. Prior to that, they completed a Bachelor's degree in Computer Engineering at the same university from 2017 to 2021. In 2016, Nadir obtained a Preparatory Certificate for Undergraduate Programs in Engineering, Science, and Health, also from the Université de Sherbrooke.

Before pursuing higher education, Nadir attended Lycée Enoch Olinga, where they received a Baccalauréat in Sciences with a mathematics specialization from 2013 to 2016.

In addition to their formal education, Nadir has also obtained several certifications. They completed courses such as Data Analysis with Python from freeCodeCamp in February 2022, Docker.Basics from the E-learning Development Fund (ELDF) in January 2022, Neural Networks and Deep Learning from DeepLearning.AI in June 2021, and Python (Basic) from HackerRank in June 2021.

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