Summary
Dominik Horn is an applied scientist with 11 years of engineering experience, currently focused on turning Amazon Redshift into an instance-optimized database at AWS. He blends deep academic research—having worked at MIT on data systems and AI—with hands-on production experience building cloud-native, data-driven anomaly detection pipelines at BMW. A TUM-trained software engineer who passed his bachelor's with distinction, Dominik is comfortable spanning research, systems design, and production deployment. He brings a knack for automating system adaptation to workload and data patterns, and quietly combines sensor/embedded roots with large-scale cloud database work.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Software Engineering - Elite Graduate Program, Master of Science - MS, Software Engineering - Elite Graduate Program at Technical University of Munich
Master of Science - MS, Software Engineering - Elite Graduate Program, Master of Science - MS, Software Engineering - Elite Graduate Program at Ludwig-Maximilians-Universität München
Master of Science - MS, Software Engineering - Elite Graduate Program, Master of Science - MS, Software Engineering - Elite Graduate Program at University of Augsburg
Higher Education Entrance Qualification (A-levels), 1,3, Higher Education Entrance Qualification (A-levels), 1,3 at Gymnasium Olching