Joel Vinet, Eng.

Joel Vinet, Eng. has extensive work experience in the field of computer vision and software development. Most recently, they worked at Vosker as a Team Lead AI, overseeing the development of AI technology. Prior to that, they served as an AI Developer at the same company.

Before joining Vosker, Joel worked at Humanware as a Software Designer, where they were responsible for optimizing the image quality of electronic magnifier products for individuals with low vision. Their role involved optimizing parameters such as white balance, light uniformity, colors, sharpness, and noise reduction to enhance the overall image quality.

Joel also has experience at Zygo Corporation, where they held the position of Team Lead (Vision). In addition to their development tasks, they coordinated the activities of a team of three vision developers. Joel collaborated with the director of engineering and other teams to coordinate projects and assign tasks according to priorities. Prior to their team lead role, Joel worked as a Computer Vision Developer at Zygo Corporation, where they developed high-speed automatic inspection and high-accuracy 2D/3D metrology applications for the semiconductor industry. Their responsibilities included developing, designing, and implementing machine vision functionalities using data and image processing algorithms, as well as analyzing large data sets to assess system performance and solve problems.

Earlier in their career, Joel worked at Solvision as a New Product Introduction Specialist (Vision). In this role, they were part of a "SWAT team" responsible for on-site customer interventions, debugging, and fast development of new functionalities. Joel developed new features and bug fixes for machine vision applications and collaborated with the engineering team to meet customer requirements.

Joel's work experience also includes internships at IBM Canada and the Canadian Space Agency, where they worked as a Java Developer. Additionally, they held an internship position as a C++ Developer at the Université de Sherbrooke.

Overall, Joel Vinet, Eng. has a diverse background in software development and computer vision, with experience in leading teams, optimizing image quality, and developing machine vision applications.

Joel Vinet, Eng. obtained a Bachelor's Degree in Computer Engineering from Université de Sherbrooke, where they studied from 2001 to 2005.

In addition to their degree, Joel has garnered several certifications to further enhance their knowledge and skills. Joel completed the "Statistics Fundamentals with Python Track" at DataCamp in January 2021. Furthermore, they hold a "Deep Learning, a 5-course specialization" certificate from deeplearning.ai on Coursera, which they obtained in June 2019.

Joel also pursued various other certifications through Coursera. In September 2016, they completed the "R Programming" certification by Johns Hopkins University. In June 2016, they obtained certifications in "Data Analysis Tools" and "Data Management and Visualization" by Wesleyan University. Furthermore, they have completed the "Machine Learning" certification by Stanford University, obtained in August 2013. Prior to this, in March 2013, they finished the "Image and video processing: From Mars to Hollywood with a stop at the hospital" certification by Duke University. Lastly, in February 2013, Joel completed the "Computing for Data Analysis" certification by Johns Hopkins University.