Summary
Samuel Kopp is a Senior Machine Learning Engineer with nine years of experience building and deploying ML-driven products across fintech, enterprise, and creative industries. Currently at Chaos he designs asset-generation and scene-intelligence models while mentoring teams and maintaining robust training-to-deployment pipelines. His background spans end-to-end AI consultancy, reinforcement learning research, geospatial and credit-scoring ML, and renewable energy forecasting, giving him a rare blend of research depth and production-focused delivery. Comfortable across software integration (frontend/backend/mobile) and operations research, he often couples mathematical optimization with ML to drive data-driven decision making. Based in Germany, he seeks projects and ventures that use data and AI for positive social or environmental impact.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Data Science and Artificial Intelligence, Bachelor of Science - BS Data Science and Artificial Intelligence at Maastricht University
Abitur, Abitur at Christoph-Scheiner Gymnasium
Bachelor of Science - BS exchange Mathematics and Computer Science, Bachelor of Science - BS exchange Mathematics and Computer Science at Monash University
English, German