Yang Chen is a skilled machine learning engineer and research scientist with experience in algorithm development, software engineering, and teaching assistance. An innovative algorithm was devised during an internship at Sogou that improved Chinese word segmentation accuracy from 91% to 95%. At Perfect World Co., Ltd., an entity extractor was implemented, achieving a 92% accuracy rate through human validation. As a software engineering intern at Apple, Yang Chen designed an application that reduced test bundle processing time by over 85% and developed an algorithm for generating sub-Carrier Aggregation combos. Currently serving as a research scientist at Meta, Yang Chen continues to advance expertise while pursuing a PhD in Computer Science at Georgia State University.
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