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CEO, AI engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Ludwig-Maximilians-Universität München
Doctor of Philosophy (Ph.D.), Machine Learning
January 1, 2013 – January 1, 2016
Universidad de Sevilla
Master’s Degree, Logic and Artificial Intelligence
January 1, 2011 – January 1, 2012
EOI Business School
Master of Business Administration (M.B.A.), Business Administration and Management, General
January 1, 2008 – January 1, 2009
University of Deusto
Engineer’s Degree, Telecommunications Engineering
January 1, 2002 – January 1, 2007
Cambrian Intelligence
CEO & AI engineer
March 1, 2020 – Present
ETH Zurich
Postdoctoral Machine Learning Researcher
October 1, 2016 – January 1, 2020
Siemens
Machine Learning Engineer
July 1, 2013 – September 1, 2016
Greater Munich Metropolitan Area
Previous experience
Engineer
January 1, 2007 – January 1, 2013
Cultural Fit Analysis
The candidate's profile shows a strong drive for innovation and applying advanced AI to real-world problems, particularly in healthcare. The entrepreneurial background and diverse research visits suggest adaptability and a global perspective. However, the target role of 'CEO' is very broad, and without specific company culture details, a precise cultural fit assessment is challenging. The candidate's focus on AI and research aligns well with innovation-driven environments.
Soft Skills & Operational Fit
The candidate's experience as a CEO and postdoctoral researcher suggests strong leadership, problem-solving, and independent research capabilities. The MBA indicates business acumen. However, specific details on collaboration, stress handling, or team dynamics are not provided in the assessment data.