Mads Thoudahl
Computer VisionAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Vision Engineer
I have a broad understanding of technology in general, and some in-depth specific knowledge in particular areas of data science. I like to combine this knowledge with my own and my colleagues' understanding about business processes, and -needs. My main strengths are analysis, design, and implementation. My passion is to work with people who gets that it is the combined team knowledge that makes the individual evolve, by endorsing a collaborative and supporting atmosphere. The most rewarding part of my job is writing those next few lines of code, solving the small problem at hand.
Københavns Universitet - University of Copenhagen
Master's degree, Computer Science
January 1, 2015 – January 1, 2017
Københavns Universitet - University of Copenhagen
Bsc Science, Datalogi, Fysik
January 1, 2011 – January 1, 2014
KNord
Merkonom, Økonomi & resursestyring
January 1, 2007 – January 1, 2010
HIAS
Seargent, Military Operational Leadership
January 1, 2003 – January 1, 2004
CLAAS
Computer Vision Engineer
January 1, 2023 – Present
Nivå, Denmark · On-site
Howden
Automation Engineer
August 1, 2019 – January 1, 2023
Helsingør
Alexandra Instituttet
Machine Learning Specialist
June 1, 2017 – August 1, 2019
Copenhagen Area, Capital Region, Denmark
University of Copenhagen
Stud.Cand.Scient Datalogi
August 1, 2011 – May 1, 2017
Det Naturvidenskabelige Fakultet, København
Sanistål A/S
Afdelingschef
August 1, 2008 – July 1, 2011
Hillerød
Johannes Fog A/S
Souschef
December 1, 2005 – July 1, 2008
Forsvaret
Sergent i Ingeniørtropperne
August 1, 2003 – December 1, 2004
Cultural Fit Analysis
The candidate has a varied career path, transitioning from management roles to a technical career in computer science. This demonstrates adaptability and a drive for continuous learning. The experience in different industries (agriculture, industrial automation, research) suggests a broad perspective. However, without project details or more information on team environments, a deep assessment of cultural fit is limited. The lack of personal projects might indicate a preference for structured work environments.
Soft Skills & Operational Fit
The candidate's resume indicates a diverse background including military leadership and management roles prior to their technical career. This suggests potential for strong leadership, discipline, and operational management skills. However, specific soft skills related to collaboration, problem-solving, and adaptability in a technical context are not explicitly detailed in the provided data.