Kevin Kepp is a Deep Learning Team Lead based in Berlin with 12 years of software engineering experience focused on machine learning for real-world products. He has led development of deep neural networks for next-generation hearing aids at Audatic, improving speech understanding and lowering listening effort, after progressing from hands-on model training to team leadership. His background spans research and applied work—from a Fraunhofer master's thesis on gradient-compression for energy-efficient training to NLP and vision projects as a freelancer—giving him a strong bridge between research rigor and production delivery. Kevin’s international experience (China, Australia, USA) and rotations at IBM inform his collaborative, customer-aware approach to R&D. He combines practical expertise in audio ML with a persistent interest in reducing the compute and energy cost of training neural networks.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Baden-Wuerttemberg Cooperative State University (DHBW)
UNSW Sydney
Abitur (A level/high-school diploma) Information Technology, Abitur (A level/high-school diploma) Information Technology at Richard-Fehrenbach-Gewerbeschule Freiburg
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at Technische Universität Berlin
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at California State University - East Bay
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