Fan Yang is an experienced professional in the field of applied science and machine learning, with a strong background in developing innovative systems and models. Fan Yang started as a Deep Learning Engineer at Baidu, Inc., where the development of an Ad Images Generation System significantly increased advertising revenue. Transitioning to an Applied Scientist role at Amazon, Fan Yang focused on search-based query rewrite and later worked as an Applied Scientist Intern at A9.com, utilizing a Multi-Armed Bandit Model for user behavior analysis. Currently serving as a Senior Machine Learning Engineer at Meta, Fan Yang is involved in enhancing development efficiency through intelligent agent solutions. Academic qualifications include a Bachelor's degree in Electronic & Information Engineering from Nanchang University and two Master's degrees, one in Computer Science from UC Irvine and another in Pattern Recognition & Intelligent System from Huazhong University of Science and Technology.
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