Moritz Voss is an Associate Quantitative Developer with 12 years of analytical experience, blending economics and finance education with hands‑on machine learning and deep learning practice. Based in Amsterdam, he has built and deployed ML pipelines and production services—using TensorFlow, Docker, Kubernetes and Azure—for retail inventory optimization and fashion attribute detection, and has experience fine‑tuning open‑source LLMs. He also brings product instincts from launching a cross‑platform sports app and automating its backend, demonstrating end‑to‑end delivery from prototype to market. Fluent in German and English, Moritz combines rigorous academic performance (cum laude Business Analytics) with a pragmatic focus on model deployment and scalable data systems. An unusual strength is his mix of domain fluency in retail/fashion and investment analytics, enabling him to translate business problems into deployable ML solutions.
12 years of coding experience
3 years of employment as a software developer
Business Analytics, Business Analytics, 8.7 (Cum Laude), Business Analytics, Business Analytics, 8.7 (Cum Laude) at Rotterdam School of Management, Erasmus University
Bachelor's degree, International Business, 3.7/4.0, Bachelor's degree, International Business, 3.7/4.0 at City University of Hong Kong
Abitur, Abitur at Erzbischöfliches Suitbertus-Gymnasium Düsseldorf
Abitur, 1.6, Abitur, 1.6 at Theodor-Fliedner-Gymnasium Düsseldorf
Bachelor's degree, International Bachelor Economics and Business Economics, 8.2, Bachelor's degree, International Bachelor Economics and Business Economics, 8.2 at Erasmus School of Economics
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