Summary
Tim Herzig is a Machine Learning Engineer based in Berlin with eight years of experience specializing in speech, audio, and video analysis. He combines academic research—publishing at multiple conferences—with hands-on product work, having owned end-to-end implementations in small teams. At DFKI he focused on speech synthesis and detection, and more recently built practical ML systems such as a custom RAG pipeline for extracting and answering questions from unstructured Excel questionnaires. Now at Machine Learning Reply GmbH, he applies this blend of research rigor and production engineering to real-world audiovisual problems. Comfortable across the ML lifecycle, he brings both experimental design experience and pragmatic deployment skills. An unusual asset is his breadth of domain exposure—from clinical-assistant workflows to research labs—giving him an aptitude for translating niche data sources into robust ML solutions.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Technische Universität Berlin
Studiespesialisering , Realfag, Studiespesialisering , Realfag at Sandnes Videregående Skole
German, Norwegian, English, Norwegian