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Senior Machine Learning Engineer | AI/ML | Deep Learning | Production AI Systems | Applied Data Science
Machine Learning Engineer with a PhD in medical computer vision, focused on developing and deploying data-driven systems in real-world environments. Currently working on 3D imaging-based ML systems for biometric authentication, with experience across the full lifecycle from research to production. Strong background in handling complex, large-scale data and building robust, scalable solutions. Interested in roles that bridge advanced AI with real-world impact, working closely with stakeholders to translate technical capabilities into practical, high-value solutions.
RWTH Aachen University
Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering
March 1, 2018 – May 1, 2023
RWTH Aachen University
Master of Science (M.Sc.), Electrical Engineering and Information Technology
January 1, 2015 – January 1, 2017
Centrale Lyon
TIME Double Master degree in cooperation with RWTH Aachen, Engineering Technology
January 1, 2013 – January 1, 2017
RWTH Aachen University
Bachelor of Science (B.Sc.), Electrical Engineering and Information Technology
January 1, 2011 – January 1, 2015
trinamiX GmbH
Senior Machine Learning Engineer
April 1, 2023 – Present
Ludwigshafen, Rhineland-Palatinate, Germany
University of Pennsylvania
Visiting Research Scientist
October 1, 2020 – May 1, 2021
Philadelphia, Pennsylvania, United States
RWTH Aachen University
Deep Learning Research Scientist
February 1, 2018 – February 1, 2023
Aachen, North Rhine-Westphalia, Germany
Maxeler Technologies
Machine Learning Intern
June 1, 2017 – December 1, 2017
London Area, United Kingdom
GE Healthcare
Embedded Software Intern
May 1, 2015 – August 1, 2015
Buc, France
SNCF
Practical Internship
August 1, 2014 – August 1, 2014
Lyon, France
Rohde & Schwarz
Summer Internship
August 1, 2011 – September 1, 2011
Cologne, Germany
Cultural Fit Analysis
The candidate's diverse experience across academic research (RWTH Aachen, University of Pennsylvania) and industry (trinamiX GmbH, Maxeler Technologies) suggests adaptability to different work environments. The focus on advanced ML/DL applications aligns well with a senior ML Engineer role. The experience in teaching and supervising indicates a willingness to share knowledge and contribute to team growth. The breadth of skills, including Computer Vision, AI, Neuroscience, and Data Engineering, demonstrates a versatile profile.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate leadership in research projects, mentoring, and collaboration with cross-functional stakeholders, suggesting strong soft skills for a senior role. The academic background and research roles imply a structured and analytical approach to problem-solving. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.