Summary
Harry Tan is an AI & Audio Scientist with a decade of experience building machine learning systems for music, media, and creative applications across startups and global platforms. He’s worked on on-device and cloud ML for audio at BandLab, content identification at Fairphonic, and deep ranking at TikTok, and now applies that blend of research and production engineering at Universal Music Group. His background spans controllable audio synthesis and emotion-guided music generation from academic R&D to practical tools like SongStarter, Voice Changer, Audio-to-MIDI, and similar-sound retrieval. Based in Singapore, he combines a computer science foundation from NTU and CUHK with a knack for shipping user-facing creative features that hide complex audio ML under the hood.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Nanyang Technological University
The Chinese University of Hong Kong (CUHK)
Chinese, Malay, English, Chinese