Chieh-Han Wu is a highly skilled professional with extensive experience in applied science and software engineering. As a Principal Applied Scientist at Microsoft from March 2015 to January 2022, Chieh-Han Wu focused on extreme multi-label document classification, entity linking, and knowledge graph construction. Currently, Chieh-Han Wu serves as a Staff Software Engineer at Meta, following a role as a Research Intern at Intel Labs where notable contributions included developing an object recognition pipeline and optimizing feature extraction processes. Academic credentials include a Master of Science in Electrical and Computer Engineering from Carnegie Mellon University with a GPA of 3.88 and a Bachelor of Science in Electrical Engineering from National Taiwan University with a GPA of 3.97.
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