Wang Xin
About Wang Xin
Wang Xin serves as the Director of Engineering for the Big Data Platform at Stellar Cyber, a position he has held since 2017. He has a background in computer science, with degrees from Tsinghua University and the University of Minnesota, and has held various engineering roles at companies such as eBay, A10 Networks, Pure Storage, and Oracle.
Current Role at Stellar Cyber
Wang Xin serves as the Director of Engineering for the Big Data Platform at Stellar Cyber. He has held this position since 2017, contributing to the development and management of big data solutions. His role involves overseeing engineering teams and ensuring the successful implementation of data-driven technologies. He is based in Santa Clara, California.
Previous Experience in Engineering
Prior to his current role, Wang Xin accumulated extensive experience in engineering across various companies. He worked at Ebay as a Staff Engineer for eight months in 2003-2004. He then joined A10 Networks, where he served as Manager of Engineering for ten years from 2004 to 2014. Following that, he worked at Pure Storage as an MTS for three years from 2014 to 2017. His career also includes a position at Oracle as a Senior Software Engineer from 1999 to 2003.
Educational Background
Wang Xin holds a Bachelor of Science degree in Computer Science from Tsinghua University, where he studied from 1990 to 1995. He furthered his education by obtaining a Master of Science degree in Computer Science from the University of Minnesota, Twin Cities, from 1995 to 1997. This educational foundation has equipped him with the knowledge and skills necessary for his engineering career.
Professional Timeline
Wang Xin's professional timeline reflects a steady progression in the technology sector. After completing his undergraduate studies, he began his career at Oracle in 1999. He transitioned to Ebay in 2003, followed by a decade at A10 Networks. His tenure at Pure Storage lasted from 2014 to 2017, before he joined Stellar Cyber. His experience spans various roles and responsibilities, showcasing his expertise in engineering and big data.