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Assessing your cultural and operational fit
Computer vision expert and full stack robotics engineer. Co-Founder of The Kobi Company. Winner of 3 CVPR awards.
Nico received his PhD from the computer vision research department of the KU Leuven led by renowned professor Luc Van Gool during which time he received multiple awards, among which three of them from the top-tier conference CVPR. After graduation he joined spin-off GeoAutomation where he implemented GPU-accelerated image compression algorithms and developed software for dense point cloud recontruction from multiple synchronized video streams. He also worked in close collaboration with Toyota on self-driving car technology where he was responsible for the development of a custom Linux-based multithreaded GPU-central framework for the image processing pipeline involving camera calibration, AI processing, visualization and writing low level GPU code for a dense accurate depth-from-stereo routine for high resolution images. In 2007 he joined The Kobi Company as late Co-founder to advance and optimize self-driving technology on cheap embedded processors while maintaining high performance levels and to develop a robust state of the art sub-centimeter camera based localization system for autonomous lawn mowers from scratch.
KU Leuven
Doctor of Philosophy (Ph.D.), Electrical, Electronics and Communications Engineering
January 1, 2002 – January 1, 2008
KU Leuven
Master's Degree, Electrical, Electronics and Communications Engineering
January 1, 1996 – January 1, 2002
Self-employed
Self Employed
April 1, 2024 – Present
On-site
The Kobi Company
System Architect and Principal Computer Vision Engineer
September 1, 2017 – May 1, 2024
KU Leuven
Senior Expert Autonomous Navigation Lab
January 1, 2015 – September 1, 2017
Cultural Fit Analysis
The candidate's background is heavily focused on deep technical engineering, particularly in computer vision, embedded systems, and hardware. While these skills are highly specialized and valuable, the target role is 'Data Analyst'. There is a significant mismatch between the candidate's demonstrated experience (system architecture, computer vision engineering, hardware design) and the typical responsibilities of a Data Analyst (data extraction, transformation, loading, statistical analysis, visualization, reporting). The candidate's project diversity is limited to highly specialized engineering roles, which may not align with the collaborative and business-oriented nature often required for data analysis roles. The lack of explicit data analysis, machine learning (beyond computer vision algorithms), or business intelligence experience suggests a poor cultural fit for a standard Data Analyst position.
Soft Skills & Operational Fit
The candidate's experience as a System Architect and Principal Computer Vision Engineer suggests strong problem-solving, innovation, and leadership skills. The detailed descriptions of complex system and software development indicate a methodical and thorough approach to engineering challenges. However, without specific psychometric test results or interview data, it is difficult to assess communication, teamwork, and stress handling directly. The self-employed status starting recently might indicate an entrepreneurial mindset.