Summary
Frank Dreyer is a Machine Learning Engineer with nine years of hands-on experience marrying academic research and industry delivery, currently building ML systems at Tchibo after a Trainee Data & AI role. He holds an M.Sc. in Data and Knowledge Engineering and a dual B.Sc. in Computer Science, and has co-authored speech-processing research that improved voice conversion quality using hierarchical VQ-VAE models and perception-aware losses. Frank is fluent in Python, R, and Java, implements and experiments with deep neural architectures in PyTorch and TensorFlow, and has practical experience shipping internal web apps and automation tools using Django and Java. His portfolio spans social-media-driven athlete performance prediction to zero-shot deep RL traffic signal control, showing a knack for applying modern ML to diverse, real-world problems. Colleagues value him as a collaborative communicator who translates complex concepts for teams and iteratively elevates models into production-ready data products. He’s eager for junior-to-midlevel roles where he can consolidate model development skills while driving measurable business impact.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science (dual), 1,7 (Good), Bachelor of Science - BS, Computer Science (dual), 1,7 (Good) at Darmstadt University of Applied Sciences
Computer Science, Computer Science at 경북대학교(Kyungpook National University)
Master of Science - MS, Data and Knowledge Engineering (Data Science), 1,5 (Very Good), Master of Science - MS, Data and Knowledge Engineering (Data Science), 1,5 (Very Good) at Otto-von-Guericke-Universität Magdeburg
German, English, Korean