Chief technology officer at Univrses - passionate about robotics and AI for the environment
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Scientist in Computer Vision and Robotics. Passionate about drones. Problem solver. Specialties: Artificial Intelligence Computer Vision Robotics Deep Learning Algorithms
KTH Royal Institute of Technology
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2011 – January 1, 2015
Alma Mater Studiorum – Università di Bologna
Master's degree, Computer Science
January 1, 2007 – January 1, 2010
Alma Mater Studiorum – Università di Bologna
Master Degree, Computer Science
January 1, 2001 – January 1, 2007
Univrses
Chief Technology Officer
May 1, 2022 – Present
Zenseact
Product Owner - Sensor calibration and failsafe area
January 1, 2020 – April 1, 2022
ZENUITY
Senior computer vision engineer for autonomous driving
April 1, 2017 – December 1, 2019
Univrses
Computer Vision and Deep Learning Scientist
January 1, 2017 – Present
Ishikawa Watanabe Laboratory, University of Tokyo
Postdoctoral Research Fellow
January 1, 2016 – December 1, 2016
Tokyo, Japan
KTH Royal Institute of Technology
Postdoctoral Researcher
June 1, 2015 – December 1, 2015
Greater Stockholm Metropolitan Area
The University of Tokyo
Special guest researcher at Ishikawa Watanabe Laboratory
April 1, 2014 – July 1, 2014
Tokyo
KTH
Doctoral student in Computer Vision and Robotics
March 1, 2011 – May 1, 2015
Greater Stockholm Metropolitan Area
Amazon Picking Challenge 2015
November 1, 2014 – May 1, 2015
Project leader, perception specialist of Team CVAP at APC 2015
Divine Guidance
January 1, 2014 – February 1, 2015
Casual game for Android
Cultural Fit Analysis
The candidate has a strong academic background and diverse experience across research institutions and companies, including leadership roles. Their involvement in both academic research and industry product development (autonomous driving) suggests adaptability. The 'Divine Guidance' project indicates personal interest beyond core professional work. However, the target role 'Computer Vision' is well-aligned with their core expertise, but the breadth of projects outside of computer vision is limited.
Soft Skills & Operational Fit
The candidate's experience as a CTO and Product Owner suggests strong leadership, strategic planning, and operational management skills. Their involvement in research and project leadership indicates problem-solving and collaboration abilities. However, specific details on communication style or team collaboration are not available from the provided data.