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After graduating Computer Vision and Image Processing he started as research scientist in SpaceKnow where he trained neural networks and optimized data processing afterwards he focused on solving large-scale satellite data imagery optimization and parallelization of several algorithms as a leader of backend team at SpaceKnow where he is testing his organizational and leading skills.
Czech Technical University in Prague
Inženýr (Ing.), Počítačové vidění a digitální obraz
January 1, 2015 – January 1, 2017
Technical University of Liberec
Bakalář (Bc.), Informační technologie
January 1, 2012 – January 1, 2015
SpaceKnow Inc.
Backend Team Leader
January 1, 2019 – Present
SpaceKnow Inc.
Machine Learning Engineer/Researcher
August 1, 2017 – December 1, 2018
Eyedea Recognition Ltd.
Machine Learning Engineer
July 1, 2017 – August 1, 2017
Hlavní město Praha, Česká republika
AutoCont CZ a. s.
Trainee
June 1, 2014 – February 1, 2016
Teplice
Cultural Fit Analysis
The candidate has a strong background in backend engineering and machine learning, with significant experience in a startup environment (SpaceKnow Inc.). While their technical skills are robust, the direct alignment with a 'Data Analyst' role is moderate. Their experience is more geared towards data engineering, MLOps, and backend systems rather than pure analytical tasks, dashboarding, or business intelligence. The lack of explicit data analysis projects or roles might indicate a gap in cultural fit for a dedicated data analyst position, though their data processing background is relevant.
Soft Skills & Operational Fit
The candidate's experience as a Backend Team Leader demonstrates leadership, mentoring, and technical administration skills. Their work on optimizing large-scale data and improving code structure suggests a focus on efficiency and quality. However, specific soft skills related to data analysis (e.g., stakeholder communication, presenting insights) are not explicitly detailed.