Timo Denk is a software engineer and ML researcher with 10 years of experience building production-grade systems and research-driven models across industry leaders in New York and Europe. He’s worked on cutting-edge audio and music models at Google and DeepMind (including contributions to MusicLM, Brain2Music, and Gemini post-training for audio), and now applies ML to trading at Jane Street. His background blends hands-on Android and backend engineering with applied research in recommender systems and document intelligence, producing peer-reviewed work like BERTgrid. As a founder of a microcontroller and web development consultancy, he has shipped over 50 small-business projects, showing a pragmatic product focus alongside research rigor. Colleagues describe him as comfortable moving models from SOTA papers into robust production pipelines, particularly in audio and multimodal domains.
10 years of coding experience
9 years of employment as a software developer
High School Diploma Computer Science, High School Diploma Computer Science at Gewerbliche Schule Waiblingen
Bachelor of Science (BSc) Computer Science, Bachelor of Science (BSc) Computer Science at Duale Hochschule Baden-Württemberg (DHBW) Karlsruhe
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