Clayton Chapman is a Data/ML Engineer with eight years of experience building data-driven systems across ecommerce, research, and digital retail in Germany. He has progressed from internships and research roles at Fraunhofer IAIS and hc1.com to production-focused data engineering positions at Kaufland e-commerce and REWE digital, and now works at inovex. Clayton combines applied machine learning, data engineering, and software engineering skills, with a background in teaching algorithms and Java that sharpens his focus on correctness and efficiency. Based in Cologne/Bonn, he is steadily expanding his expertise through a Master's in Computer Science while translating experimental models into reliable pipelines for business impact. Notably, his career blends hands-on ML prototyping with large-scale data platform delivery—bridging research-grade methods and production demands.
8 years of coding experience
5 years of employment as a software developer
Dual Degree, Dual Degree at Technische Hochschule Ulm
Master's degree Computer Science, Master's degree Computer Science at The University of Bonn
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Rose-Hulman Institute of Technology
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