Samuel Kopp
Senior Machine Learning Engineer at Chaos
Greater Munich Metropolitan Area Germany
Summary
👤
Senior🎓
Top SchoolSamuel 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
4 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 UniversityAbitur, Abitur at Christoph-Scheiner GymnasiumBachelor of Science - BS exchange, Mathematics and Computer Science, Bachelor of Science - BS exchange, Mathematics and Computer Science at Monash University
English, German, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (57)
user-friendly9
anomaly-detection9
prophet9
forecasting9
python8
time-series8
machine-learning8
spotipy8
shazam8
spotify-api7
deep-learning7
music6
spotify6
telegram-bot6
apple-music6
Programming languages (3)
Github contributions (5)
Eslsamu/CargoLoad
Jan 2018 - May 2020
Contributions:32 commits, 75 pushes, 1 branch in 2 years 4 months
Eslsamu/MarbleBot
Jan 2019 - Sep 2020
Learning quadrupedal locomotion using deep reinforcement learning
Contributions:23 commits, 47 pushes, 1 branch in 1 year 8 months
locomotionreinforcement-learningreinforcementdeep-reinforcement-learning
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