Sumit Dey
About Sumit Dey
Sumit Dey is a Research & Development Software Engineer at TomTom, specializing in sensor fusion and non-linear optimization algorithms for autonomous vehicles.
Current Role at TomTom
Sumit Dey has been serving as a Research & Development Software Engineer at TomTom since 2019. Based in the Berlin area of Germany, he is involved in developing cutting-edge technologies in the field of software engineering. His role likely includes contributions to navigation systems, map technology, and location-based services, leveraging his extensive background in software development and artificial intelligence.
Previous Experience at KU Leuven
In 2018, Sumit Dey worked at KU Leuven in Belgium, first as a Graduate Student Researcher and later as a Project Engineer. His tenure as a Graduate Student Researcher lasted six months, during which he focused on integrating advanced algorithms and methodologies in autonomous vehicle technologies. As a Project Engineer for three months, he continued to advance research projects, contributing to the university's status as a leading research institution.
Educational Background
Sumit Dey earned a Master's degree in Artificial Intelligence from the University of Leuven, studying from 2015 to 2018. He also holds a Bachelor of Technology (B.Tech.) in Electronics and Communications Engineering from the West Bengal University of Technology, where he studied from 2010 to 2014. Throughout his academic career, Sumit developed a strong foundation in both theoretical and practical aspects of AI, computer vision, and embedded systems.
Industry Experience in Computer Vision
Sumit Dey has significant experience in computer vision and related technologies. He worked as a Senior Software Researcher at i2V Systems in Gurgaon, India, focusing on vehicle detection, trajectory estimation, and number plate recognition. Additionally, he held roles at the Council of Scientific and Industrial Research (CSIR) and IBM India, where he contributed to projects involving 3D reconstruction and trajectory estimation. His industry experience has equipped him with practical skills in deploying real-time systems on embedded platforms.
Research and Development Contributions
Throughout his career, Sumit Dey has been involved in developing prototypes for various technological applications. His noteworthy projects include 3D reconstruction and projectile trajectory estimation in industrial research labs and deploying real-time vehicle detection systems. At KU Leuven, he authored a thesis on visual-inertial sensor fusion for autonomous vehicles and developed calibration techniques for IMUs and cameras. His research contributions extend to sensor fusion and non-linear optimization algorithms for autonomous vehicle deployment.