About

Jun Fan is an experienced Software Engineer with a strong background in both research and development. Currently working at Intuit, Jun is part of a team building scalable ledger systems for the company's financial products. He is a key contributor to the development of ledger APIs, which enable other teams to persist their transaction data into the ledger database. Jun has also played a significant role in the development of an internal money movement system, which moves approximately $2 billion annually between Intuit's corporate bank accounts. Additionally, he is responsible for developing the front-end application used by internal accountants to perform bank account reconciliation. Jun's expertise extends beyond his current role at Intuit. Prior to joining the company, he pursued a Master's degree in Computer Engineering at Texas A&M University, where he worked as a graduate student. He also served as a Research Assistant at Jinan University, where he was part of the Image Processing Analysis Research Team (IPART). During his time at Jinan University, Jun contributed to a project entitled "FPGA Implementation of 9-7 Line-based Discrete Wavelet Transform," where he successfully completed the FPGA implementation of 2-levels 2D Discrete Wavelet Transform on his own, earning the project a score of 96 out of 100 in the senior design evaluation. Jun's technical skills include expertise in Software Engineering, AWS, Kubernetes, Frontend development, Research Science, and Image Processing. With 7.36 years of relevant experience, he has honed his skills in software development, data analysis, and project management. Jun is a highly motivated and dedicated individual who is always looking to expand his knowledge and skills. He is a valuable asset to any organization and would be an excellent addition to any team.