Machine Learning Engineer | ASR
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9 years of experiences in ML, with a focus on distributed machine learning. Proficient in the PyTorch ecosystem, with hands-on experience building enterprise-level machine learning platforms from the ground up. Led an ASR model project that achieved a 25% improvement in CER. Skilled in federated learning as well as Python and SQL.
Senior Machine Learning Engineer with over 8 years of experience in large language models, distributed systems, and privacy-preserving computation. Led the design and deployment of scalable LLM and federated learning platforms using Ray, BentoML, and Kubernetes, and post-trained ASR models with RLHF for significant performance gains. Experienced in building end-to-end machine learning systems—from big data processing and heterogeneous scheduling to intuitive drag-and-drop modeling tools—and managing cross-functional algorithm teams.
Skilled in Python, PyTorch, Spark, and cloud-native ML infrastructure.
Master’s degree in Neuroscience from The Chinese University of Hong Kong
