Anselm Coogan
About Anselm Coogan
Anselm Coogan is a Computer Vision Software Engineer currently employed at Scandit in Zürich, Switzerland, where he has worked since 2022. He holds a master's degree in Robotics, Cognition, and Intelligence from Technische Universität München and has experience in various engineering roles, including internships and working student positions.
Work at Scandit
Anselm Coogan has been employed at Scandit as a Computer Vision Software Engineer since 2022. In this role, he focuses on developing advanced computer vision solutions. Prior to this position, he served as an Associate Product Engineer at Scandit from 2021 to 2022. His work at Scandit is based in Zürich, Switzerland, where he has contributed to various projects related to computer vision technology.
Education and Expertise
Anselm Coogan studied at Technische Universität München, where he earned a Master’s degree in Robotics, Cognition, Intelligence from 2018 to 2021. His coursework included deep learning, machine learning, visual odometry, and SLAM systems. He also completed a Bachelor's degree in Ingenieurwissenschaften at the same university from 2014 to 2018. As part of his master’s thesis, he developed a 3D multi-object tracking system for stereo cameras and is currently working on publishing a paper based on this research.
Background
Anselm Coogan has a diverse background in software engineering, with experience in both smaller and larger companies. He worked as a Working Student at Microstep AG in 2017 and at Capgemini from 2017 to 2018. He also interned as a Robotics Software Engineering Intern at Brain Corp in 2019. His early education includes a study period at Middlebury College in 2013.
Professional Experience
Anselm Coogan has accumulated significant professional experience in software engineering. He worked at Brain Corp as a Robotics Software Engineering Intern for five months in 2019, where he gained practical skills in robotics. His roles at Microstep AG and Capgemini as a Working Student provided him with foundational experience in the industry, contributing to his overall expertise in computer vision and robotics.