Hao-xuan Wang is a Senior Data Scientist with a decade of experience building production ML systems focused on ASR, LLMs, and safety-critical audio applications across companies like Zoom and Grab. He combines research-led improvements (notably in LLM-augmented ASR and rare-word recognition) with end-to-end engineering — from model training and evaluation to deployment and service ownership. Recent work uses audio keyword spotting and speech LLMs to proactively protect passenger and driver safety, and a short-term project achieved an 87% F1 for question-intent detection from partial ASR outputs. Comfortable in distributed pipelines (Spark, DJL) and transformer fine-tuning, he also has experience in entity linking, transaction-graph analysis, and active learning. Based in Hangzhou with roots across Europe and Asia, he’s open to remote roles in London, Tokyo, Ireland, and Singapore and aspires to a digital-nomad lifestyle. Actions speak louder than words — his GitHub and blog document a pragmatic, results-oriented approach to applied NLP.
10 years of coding experience
5 years of employment as a software developer
Secondary School N / A, Secondary School N / A at Tanggu No.1 Middle School, Bin Hai New Area, Tianjin
Bachelor's Degree Internet Computing, Bachelor's Degree Internet Computing at University of Liverpool
Bachelor's Degree Information and Computing Science, Bachelor's Degree Information and Computing Science at Xi'an Jiaotong-Liverpool University
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