Summary
Malcolm Vigren is a software developer with 11 years of hands-on experience in image processing, computer vision and machine learning, grounded in an M.Sc. in Computer Engineering from Linköping University. He has built production vision algorithms for automotive active-safety cameras at Veoneer/Arriver and later applied similar expertise to industrial laser triangulation and quality-control solutions at SICK. Comfortable in Linux and fluent across Python, C# and embedded systems, he combines academic depth in signal and image processing with practical deployment experience. Known for turning research-level ideas—such as an end-to-end deep learning lane estimation thesis—into reliable customer-facing applications, he also mentors students as a former teaching assistant. Now at Qvantum Sverige, he continues to bridge electronics projects and software engineering, preferring roles that blend algorithmic challenge with real-world systems.
10 years of coding experience
5 years of employment as a software developer
Civilingenjörsexamen Datateknik, Civilingenjörsexamen Datateknik at Linköping University