Freelance AI / machine learning engineer (PhD computer science)
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Assessing your cultural and operational fit
I love building | learning | teaching. AI/ML engineer with >10 years of experience. Worked across industries - from demand prediction for bakeries to smart household appliances to e-commerce. Computer vision, time series forecasting, GenAI systems. Happy to work anywhere in the stack (even frontend 💚). Very quick with getting up to speed and productive. Let's start building!
KTH Royal Institute of Technology
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2009 – January 1, 2013
Technische Universität Chemnitz
Master's Degree, Computer Science
January 1, 2000 – January 1, 2006
Self-employed
Freelance AI / Machine Learning Engineer
August 1, 2017 – Present
Berlin Metropolitan Area
Data Science For Social Good
Data Science Fellow
May 1, 2015 – August 1, 2015
Greater Chicago Area
Zalando SE
Data Scientist / Machine Learning Research Scientist
January 1, 2014 – July 1, 2017
Berlin
KTH Royal Institute of Technology
Doctoral Candidate / Researcher
January 1, 2009 – October 1, 2013
Greater Stockholm Metropolitan Area
TU Dresden
Research Assistant (Software Development)
September 1, 2006 – December 1, 2008
Dresden
Cultural Fit Analysis
The candidate's background includes significant work in research, open-source contributions (Prototypefund), and social good initiatives (Data Science For Social Good), suggesting an interest in impactful and collaborative environments. The freelance work and diverse project types indicate a proactive and adaptable individual. However, the target role is 'Data Analyst', while the candidate's experience is heavily skewed towards 'AI/Machine Learning Engineer' and 'Data Scientist'. This might indicate a potential mismatch in the specific day-to-day responsibilities and expectations for a pure Data Analyst role, which typically focuses more on reporting, dashboarding, and SQL-based analysis rather than model development and MLOps. While the candidate has data science experience, the core 'Data Analyst' skills are not explicitly highlighted.
Soft Skills & Operational Fit
The candidate's experience in teaching and leading projects (e.g., HTW University, Prototypefund) suggests strong communication, mentorship, and project management skills. The freelance work demonstrates autonomy and initiative. The diverse project portfolio indicates adaptability and problem-solving capabilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.