Arnold Yeung
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolArnold Yeung is an applied scientist with 11 years of experience building and deploying machine learning systems across e-commerce, social media, healthcare, and control systems. Currently at Amazon’s Pricing Science team, he blends production ML (AutoGluon, PyTorch, SageMaker) with analytics and dashboarding to keep prices competitive at scale. His background spans fraud/bot detection at TikTok, pandemic forecasting and explainable-RL research at the Vector Institute, and co-founding a startup that delivered state-of-the-art EEG concussion classifiers. Comfortable moving from C++ control software and embedded simulation to Python data pipelines and LLMs, he pairs rigorous academic publications with practical production impact. Based in Seattle, he has a track record of turning experimental models into reliable products and running large-scale human studies and A/B tests to validate real-world behavior.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Applied Science - BASc Mechanical Engineering, Bachelor of Applied Science - BASc Mechanical Engineering at The University of British ColumbiaMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of Toronto
Japanese, Spanish, French, English, Chinese, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
imbalanced-data10
smote10
regression9
synthetic-data8
convolutional-neural-networks8
synthetic8
sampling8
colorize6
deep-learning5
machine-learning5
pytorch5
css4
Programming languages (3)
Github contributions (5)
ArnoldYSYeung/stock_trading_algorithms
Sep 2017 - Sep 2019
Contributions:34 commits, 33 pushes, 1 branch in 2 years
ArnoldYSYeung/arnoldysyeung.github.io
Dec 2016 - Apr 2020
Contributions:79 pushes, 1 branch in 3 years 3 months
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