Michal čáp
About Michal čáp
Michal Čáp serves as the Vice President of Software Engineering at ISEE, where he has contributed to the development of self-driving tractors. He has a diverse academic and professional background, including roles at MIT, Delft University of Technology, and Czech Technical University in Prague.
Current Role at ISEE
Michal Čáp serves as the Vice President of Software Engineering at ISEE, a position he has held since 2024. In this role, he oversees the software engineering division, focusing on the development of innovative solutions for self-driving technology. His leadership is instrumental in advancing ISEE's mission to create autonomous vehicles for logistics.
Previous Experience at ISEE
Before his current role, Michal Čáp held several positions at ISEE. He was the Director of Autonomy from 2021 to 2023, where he led initiatives in autonomous systems. Prior to that, he served as the Tech Lead for Motion Planning from 2019 to 2021, contributing to the development of algorithms for autonomous navigation. He also worked as the Autonomy Architect and Head of Development Platforms in 2023, where he led the development of the autonomy stack and related platforms.
Education and Expertise
Michal Čáp has an extensive educational background in artificial intelligence and technology. He earned a Doctor of Philosophy (PhD) in Artificial Intelligence from Czech Technical University in Prague, where he studied from 2010 to 2017. He also holds a Master of Science (MSc) in Agent Technology from Utrecht University and a Bachelor of Science (BSc) Honours Degree in Informatics from Coventry University. His academic pursuits have equipped him with a strong foundation in AI and software engineering.
Research and Development Background
Michal Čáp has contributed to various research initiatives throughout his career. He worked as a Visiting Researcher at the Massachusetts Institute of Technology (MIT) in 2015 and at the Singapore-MIT Alliance for Research & Technology Centre. Additionally, he was a Postdoctoral Fellow at Delft University of Technology from 2017 to 2018. His research includes co-authoring a highly cited paper on motion planning techniques for self-driving vehicles.
Early Career Experience
In the early stages of his career, Michal Čáp gained experience as a Web Developer at Global Sports Media and as an A.I. Developer at TNO Defence, Security and Safety. He also worked as a Student Assistant at Utrecht University. These roles provided him with a diverse skill set in software development and artificial intelligence, laying the groundwork for his future endeavors in the field.