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Cédric DEMONGIVERT, Phd. AI

Software architect at Everysens

Cédric DEMONGIVERT, Phd. AI has a diverse work experience in the field of software development and artificial intelligence. Cédric started their career in 2013 as a Web Developer at CASDEN BP (BPCE Group), where they designed and developed responsive web applications using various technologies such as Bootstrap, Laravel, React, Angular, and VueJS. Cédric worked on both the Distribution and Information System departments, collaborating with different teams to create applications for tablets, computers, and smartphones.

In 2018, Cédric joined Université du Québec à Chicoutimi (UQAC) for their thesis in Artificial Intelligence. During this time, they designed, developed, and validated a platform that gathers, processes, and exposes data from various intelligent environments. The platform collected data emitted by smart homes and transformed it into high-level information, contributing to the extension of autonomy for the elderly in the context of degenerative diseases. Additionally, they also served as a Lecturer at UQAC, preparing and delivering a course on Software Engineering. Cédric designed sessions that combined theory and practice, helping students adopt a broader perspective on software development.

Currently, Cédric is working at Everysens as a Software Architect, starting in 2023.

Cédric DEMONGIVERT, Ph.D. AI, began their education by obtaining a Bachelor's degree in Scientific (Mathematics) at Lycée Samuel Beckett from 2010 to 2012. Cédric then pursued further studies at Université Paris-Est Marne-la-Vallée, where they achieved a Diplôme Universitaire de Technologie (DUT) in Computer Science from 2012 to 2014. Following this, Cédric attended ESIEE PARIS from 2014 to 2017 to obtain a French engineering degree in Computer Science, equivalent to a Master's degree, specializing in INFORMATIQUE ET APPLICATIONS - INGÉNIERIE 3D ET TECHNOLOGIE DES MÉDIAS.

Continuing their academic journey, Cédric pursued a Ph.D. at Université du Québec à Chicoutimi in Computer Science from 2018 to 2022, focusing on the field of study in Artificial Intelligence (AI).

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