Summary
Daiyu Zhang is a Sr ML Research Engineer with 11 years of experience applying deep learning across audio, speech, video, text, and multimodal domains, currently leveraging LLMs for autonomous driving and vehicle behavior prediction at Lucid Motors. Previously at TikTok he led multimodal R&D, built scalable audio fingerprinting at production scale, and authored work on melody generation and music LLM datasets, combining research publications with deployable systems. He has a strong track record in source separation, classification, and speech enhancement where his work achieved state-of-the-art results, and has practical expertise in post-training and fine-tuning large language models for audio and music tagging. Comfortable moving models from papers to products, Daiyu blends research rigor with engineering craftsmanship honed at companies from startups to hyperscale platforms, plus a Master’s in Computer Science. An uncommon strength is his ability to bridge symbolic music generation research with large-scale data engineering to create novel, production-ready music intelligence features.
11 years of coding experience
9 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Maharishi International University
Bachelor’s Degree software development, Bachelor’s Degree software development at Waterford Institute of Technology
English, Chinese