Xiang Wu
About Xiang Wu
Xiang Wu is the Head of ML/AI at smlXL, where he focuses on integrating machine learning with data to provide real-time insights in the Web3 space. He has extensive experience in technology and finance, having held positions at notable companies such as Google, ByteDance, and Snap Inc.
Work at smlXL
Xiang Wu serves as the Head of ML/AI at smlXL since 2023. In this role, he focuses on integrating machine learning with data to provide real-time insights, particularly within the Web3 space. His leadership aims to enhance the company's capabilities in utilizing advanced technologies to navigate the complexities of the crypto ecosystem.
Previous Experience in Technology
Prior to his current position, Wu held several significant roles in the technology sector. He worked at Google as a Staff Software Engineer from 2015 to 2019. Following that, he served as a Technical Lead Manager at ByteDance for one year, and then at Snap Inc. for two years. Most recently, he was a Technical Lead Manager at OpenSea for eight months before joining smlXL.
Finance and Engineering Background
Xiang Wu has a diverse background that includes experience in finance and engineering. He worked at J.P. Morgan as an Associate for one year and then served as Vice President at Bank of America Merrill Lynch for four years. Earlier in his career, he was a Member of Technical Staff at AMD for four years, and he completed an R&D internship at Jasper Design Automation.
Education and Expertise
Wu holds a Ph.D. in Computer Engineering from The University of Texas at Austin, an M.S. in Industrial Engineering from the University of Arizona, and a B.S. in Physics from Tsinghua University. His educational background equips him with a strong foundation in both technical and analytical skills, enabling him to leverage emerging technologies effectively.
Focus on Emerging Technologies
Xiang Wu is passionate about leveraging emerging technologies to shape the future of industries. His work emphasizes the development of intelligence systems that assist users in navigating the complexities of the crypto ecosystem, showcasing his commitment to innovation in the field of machine learning and artificial intelligence.