Summary
Robin Yuen is a machine learning engineer specializing in speech recognition and NLP, with a decade of experience building data-efficient ASR systems, data pipelines for large-scale datasets, and leadership in research-driven environments. At SoundHound AI, he reduces data requirements for ASR and keyword recognition and has built data ingestion pipelines for datasets exceeding 10,000 hours. He co-founded Flying Milk Tea as CTO and ML Lead, delivering neural watermarking, few-shot voice imitation, TTS, and image understanding while partnering with leading global virtual Youtuber agencies. As a leader in high-performance computing, he coached CUHK's ASC Supercomputing Team to multiple championships and pretrained a 5B-parameter LLM distributed across GPUs and AWS, building an on-site GPU cluster. He has contributed to LIGO's ML efforts for low-latency gravitational-wave searches, illustrating the ability to apply ML to physics-scale problems. He holds a BSc in Theoretical Physics from CUHK and an MSc in Data Science with Computational Linguistics from UBC, and is based in Vancouver, Canada.
10 years of coding experience
5 years of employment as a software developer
Master of Data Science, Computational Linguistics, Master of Data Science, Computational Linguistics at The University of British Columbia
The Chinese University of Hong Kong (CUHK)