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AI Scientist and Lead at Charité
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Amsterdam
Master of Science (M.Sc.), Artificial Intelligence
January 1, 2015 – January 1, 2018
Budapest University of Technology and Economics
Bachelor of Science (B.Sc.), Computer Science
January 1, 2011 – January 1, 2015
ai4medicine
Chief AI Officer
November 1, 2019 – January 1, 2025
Berlin, Germany
Charité
AI Scientist and Lead
September 1, 2019 – Present
Berlin Area, Germany
Charité
AI Scientist
April 1, 2019 – Present
Berlin Area, Germany
Novum AI
Co-Founder & CTO
October 1, 2018 – June 1, 2019
Berlin Area, Germany
AMC - Academic Medical Center
Machine Learning Scientist
October 1, 2018 – February 1, 2019
ScrumurAI
Project Leader / Co-founder
October 1, 2017 – December 1, 2018
Amsterdam Area, Netherlands
Nico-lab
Artificial Intelligence / Software Engineer
April 1, 2016 – February 1, 2018
Academisch Medisch Centrum, Amsterdam
Morgan Stanley
Software Developer Internship
June 1, 2014 – September 1, 2015
Budapest, Hungary
Budapest University of Technology and Economics
Teaching Assistant
January 1, 2013 – January 1, 2015
Watson Innovation Course
November 1, 2015 – February 1, 2016
In a multidisciplinary team of 4 science and 1 business student we aimed to design and implement a prototype of an intelligent website for helping tourists discover less crowded places of Amsterdam. The project was ran in collaboration of VU University, IAmsterdam and IBM. The website is capable to process users questions and communicate it in the adequate form to a pre-trained IBM Watson instance. In addition the Bluemix dialog service provides a comfortable form of the natural language interaction between human and machine. By training backend logic on historical data about the museums', bars', restaurants' crowdedness we can show and advise less busy attractions for tourists and balance overcrowded hours of Amsterdam's most frequent places. Beside the development the possible market of such an application was researched and so a significant demand on such a natural way of planning visits was found. As mentioned the live version is a prototype and works with a limited set of designed features inorder to showcase.
TOEFL iBT - Total score of 95
ETS EMEA
June 24, 2026 – Present
Deutsches Sprachdiplom der Kultusministerkonferenz - Zweite Stufe - Niveau C1
Ständige Konferenz der Kultusminister der Länder in der Bundesrepublik Deutschland
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across startups (Novum AI, ScrumurAI, Nico-lab, ai4medicine) and academic/research institutions (Charité, AMC, University of Amsterdam) indicates adaptability to various organizational cultures. Their involvement in projects with social impact (e.g., stroke prevention, cancer therapy stratification) suggests a mission-driven approach. The 'Watson Innovation Course' project, involving collaboration with a university, IAmsterdam, and IBM, demonstrates an ability to work in complex, multi-stakeholder environments. However, the candidate's profile is heavily skewed towards AI/ML research and development, which might not align perfectly with the typical responsibilities and cultural expectations of a pure Data Analyst role, which often requires a different focus on business intelligence and reporting rather than advanced model development.
Soft Skills & Operational Fit
The candidate's experience in leading teams and coordinating projects (e.g., 'AI Scientist and Lead', 'Project Leader / Co-founder') suggests strong leadership, collaboration, and project management skills. The 'Watson Innovation Course' project highlights teamwork and problem-solving in a multidisciplinary setting. The descriptions indicate a proactive and innovative mindset, suitable for roles requiring initiative and strategic thinking. However, the target role is 'Data Analyst', which is a significant shift from their current and past senior AI/ML roles. While they possess strong analytical capabilities, the operational fit for a pure data analyst role, which often involves more routine data manipulation, reporting, and dashboarding, might be a mismatch for their senior AI/focused background.