Xiaobing L.

Xiaobing L. has extensive work experience in the technology industry. Xiaobing currently works as a Software Engineer at StarTree, a position they have held since July 2021. Prior to their current role, Xiaobing worked at Amazon Web Services (AWS) as a Senior Software Engineer from October 2020 to July 2021. Xiaobing was responsible for optimizing Apache Spark's runtime for faster data integration. Before AWS, Xiaobing spent five years at Uber as a Senior Software Engineer, where they focused on logging. Xiaobing contributed significantly to developing the logging system at Uber. Prior to Uber, Xiaobing worked at LogicMonitor as a Software Engineer from August 2013 to August 2015. Xiaobing was the main contributor to a highly reliable time series database and also worked on improving the end-to-end product. Xiaobing's earlier experience includes working as a Research Assistant at Auburn University, where they contributed to research projects related to improving data management and performance in MapReduce programs. Xiaobing also worked as a Research Intern at EMC, where they optimized Hadoop for virtualized environments. Xiaobing has a strong academic background, having worked as a Research Assistant at the Institute of Computing Technology, Chinese Academy of Sciences, and Shandong University. In these roles, they focused on implementing distributed backup systems, designing erasure code-based models for data integrity verification, and conducting research on network detection and deployment.

Xiaobing L. has a Bachelor's degree in Computer Software Engineering from Shandong University. After completing their undergraduate studies in 2010, they pursued further education and obtained a Master's degree in Computer Science from Auburn University in 2013. Prior to their Master's degree, from 2010 to 2011, they were a Graduate Student at the Graduate University of Chinese Academy of Sciences, specializing in Computer Software and Theory.