Amelia Ying
Senior Machine Learning Engineer at Crunchyroll
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAmelia Ying is a Machine Learning Engineer in San Francisco with eight years of experience designing and shipping production ML systems across AWS, TikTok, and startups. She builds end-to-end pipelines—from data collection and annotation tooling to scalable training, deployment, and monitoring—having increased model-driven metrics like NER detection by 75% and recommendation interaction rates by up to 6–100% in web products. At AWS she led the SageMaker Example Notebooks open-source project, built multi-region data serving and LLM-based insight pipelines for 200+ services, and implemented telemetry and A/B testing that substantially improved product visibility. Comfortable in both research and production settings, she has optimized distributed Spark and PyTorch pipelines to process tens of millions of records and cut inference/ETL costs dramatically. Amelia’s background in mechanical and nuclear engineering informs a pragmatic systems approach—she invents low-cost vision solutions and internal tools that accelerate team productivity and data quality.
8 years of coding experience
12 years of employment as a software developer
Master of Science (M.S.) Mechanical Engineering, Master of Science (M.S.) Mechanical Engineering at Georgia Institute of Technology
English, Chinese, French, Arabic
Github Skills (31)
pytorch10
artificial-intelligence10
python10
data-science10
pretrain10
machine-learning10
deep-learning10
ai10
ingress7
aws7
keras7
hyperparameter-tuning6
data-versioning6
autoscaling6
reinforcement-learning6
Programming languages (3)
Github contributions (5)
ameliatqy/EMG-Neural-Network
Apr 2018 - Dec 2019
Contributions:5 commits, 3 pushes, 1 branch in 1 year 7 months
ameliatqy/Face-Detection-Tracking
Apr 2018 - Dec 2019
Contributions:4 pushes, 1 branch in 1 year 7 months
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