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Dr. Amélie Anglade has been a Machine Learning and Music Informatics specialist for 20 years, 10 of which as a freelancer/consultant, successfully working on more than 25 projects in Berlin and abroad. Although she has worked for larger entities, such as the EU Commission and Mercedes-Benz, she mostly assists startups in the AI and music or multimedia space, focusing on identification, analysis and discovery tasks. She started her career in that field working on research projects at large R&D labs such as Philips Research, Sony CSL and CNRS, before completing her PhD on automated genre classification at Queen Mary University of London. In 2011, she was the first music data science hire at SoundCloud. If R&D and development are still her main focus, over the years, working with collaborators, she has been expanding her services to support Music & AI projects end-to-end: strategy, project and team management, recruitment, teaching, reviewing, etc.