About

Shuguang Tan is a highly experienced senior financial software engineer currently working at Bloomberg LP. He has over 13 years of experience in the field of software engineering and research science. Shuguang has a proven track record of delivering complex financial software solutions that have helped organizations achieve their business goals. Before joining Bloomberg LP, Shuguang worked as a postdoc research associate at Texas A&M University and as a research assistant at the University of Florida. During his time at these institutions, he gained valuable experience in research and development, which he has since applied to his work in the financial industry. Shuguang holds a Ph.D. in Computer Science from Peking University, China, and has also studied at the University of Florida, where he earned a Master's degree in Computer Science and a Bachelor's degree in Mathematics. He is a highly skilled software engineer and research scientist with expertise in a range of technologies. Shuguang's technical skills include software engineering, research science, and data analysis. He is proficient in a range of programming languages, including C++, Java, and Python, and has experience working with a variety of databases, including Oracle, MySQL, and SQL Server. Shuguang is a highly motivated individual who is committed to delivering high-quality software solutions that meet the needs of his clients. He has a strong work ethic and is always looking for ways to improve his skills and knowledge. Shuguang is a valuable asset to any organization looking for a senior financial software engineer with experience in research science and a proven track record of success.