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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
Peter the Great St.Petersburg Polytechnic University
Semester Abroad, Peter the Great St.Petersburg Polytechnic University
January 1, 2018 – January 1, 2018
University of Münster
Master of Science (M.Sc.), Information Systems
January 1, 2017 – January 1, 2018
Karlsruhe Institute of Technology (KIT)
Bachelor of Science (B.Sc.), Information Systems
January 1, 2013 – January 1, 2016
ThesisAI
Founder
November 1, 2023 – Present
Commerzbank AG
AI Engineer (Freelance)
November 1, 2023 – April 1, 2024
Germany · Remote
BASF
Lead Machine Learning Engineer (Freelance)
August 1, 2021 – January 1, 2024
Germany · Remote
Mercedes-Benz AG
Senior Data Scientist
April 1, 2020 – January 1, 2022
Mercedes-Benz AG
Data Scientist
April 1, 2019 – March 1, 2020
viadee Unternehmensberatung AG
Master Thesis: Explainable Artificial Intelligence (XAI)
September 1, 2018 – December 1, 2018
Münster und Umgebung, Deutschland
Jodel
Data Science Intern
June 1, 2018 – July 1, 2018
Berlin und Umgebung, Deutschland
viadee Unternehmensberatung GmbH
Working Student
October 1, 2017 – December 1, 2017
Münster, Nordrhein-Westfalen, Deutschland
zeb consulting
IT-Consulting Intern (IT-Strategy & Transformation)
August 1, 2016 – December 1, 2016
Frankfurt am Main und Umgebung, Deutschland
HUK-COBURG
Business Intelligence Intern
August 1, 2015 – September 1, 2015
Coburg, Bayern, Deutschland
IQ Test (>= 94%)
Mensa Germany
June 24, 2026 – Present
Named Entity Recognition using LSTMs with Keras
Coursera
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Time Series Analysis in Python
Udemy
June 24, 2026 – Present
Natural Language Processing in TensorFlow
Coursera
June 24, 2026 – Present
Deep Learning: Advanced NLP and RNNs
Udemy
June 24, 2026 – Present
Deep Learning with Keras
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory, moving from corporate data science roles to freelance lead ML engineering and founding their own AI startup, demonstrates a strong entrepreneurial spirit and a drive for innovation. This aligns well with a 'Founder' target role, indicating a high degree of self-motivation and a willingness to take risks. The diversity of projects and industries (finance, automotive, chemical, academic writing) suggests adaptability and a broad interest in applying AI across different domains. Their contributions to open-source projects also highlight a collaborative and knowledge-sharing mindset. The target role 'Founder' is a direct match for their current professional status.
Soft Skills & Operational Fit
The candidate's experience as a Founder and Lead ML Engineer suggests strong leadership, problem-solving, and project management skills. Their involvement in open-source contributions indicates a collaborative and community-oriented mindset. The diverse industry experience (finance, automotive, chemical) points to adaptability and a broad understanding of business contexts. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is limited.