Gaylord Marville

Gaylord Marville's work experience includes the following:

1. Computer Vision and Deep Learning Engineer at LTU (2020-present): Gaylord holds the role of a Computer Vision and Deep Learning Engineer at LTU, starting in September 2020.

2. Software Engineer C++/Python for Idemia at ALTEN (2019-2020): Gaylord was employed as a Software Engineer at ALTEN, working with C++ and Python for Idemia. Gaylord held this position from January 2019 to September 2020.

3. Freelance work (2017-2018): Gaylord worked as a Freelancer during this period, achieving inspection reports in Parisian public buildings, focusing on disabled people. Gaylord also gained customer loyalty from over 50 clients within a year. Their freelance work involved skills in sensors and localization, controllers, path planning, and the real-world integration of a self-driving car.

4. Ingénieur chargé d'affaires at GROUPE QUALICONSULT (2016-2017): Gaylord held the role of Ingénieur chargé d'affaires at GROUPE QUALICONSULT from September 2016 to March 2017.

5. Ingénieur chargé d'affaires at Bureau Veritas (2011-2016): Gaylord worked as an Ingénieur chargé d'affaires at Bureau Veritas from September 2011 to August 2016.

Gaylord Marville pursued their education in a variety of fields. Gaylord began by attending CY Cergy Paris Université from 2009 to 2010, where they obtained a Licence in Bureau d'étude et conception technique. Following this, they attended CPGE ATS in 2010-2011, focusing on Civil Engineering. Later, from 2011 to 2014, Gaylord Marville attended ESIPE - École supérieure d’ingénieurs de Paris-Est, earning an Engineer's degree in Structural design and control of constructions.

Gaylord Marville also obtained several additional certifications. In 2015, they completed the Full Stack Web Developer Nanodegree program offered by Udacity. In 2016, they successfully completed the Self-Driving Car Nanodegree program, also from Udacity. Continuing their learning journey, they completed the Machine Learning Nanodegree program in 2017 and the Deep Reinforcement Learning Nanodegree program in 2018, both from Udacity.

In the same year, they also obtained certifications in subjects such as Decentralized Applications from the School of AI, and Flying Car Nanodegree from Udacity. Additionally, in 2020 they completed the course on Custom Models, Layers, and Loss Functions with TensorFlow offered by Coursera. In 2021, they obtained the Machine Learning DevOps Engineer Nanodegree from Udacity, and in 2022, they acquired certifications in the AI for Trading Nanodegree and Computer Vision Nanodegree programs from Udacity. Gaylord also completed a course on Getting Started with Docker offered by Pluralsight in 2022.

These certifications and educational experiences showcase Gaylord Marville's diverse background and dedication to continuous learning in various areas of engineering, computer science, and technology.