Summary
Sam Fan is a technology leader with over a decade of engineering experience building AI-enabled, cloud-native platforms for global banks and trading businesses; he currently leads Machine Learning delivery and the security service capability at HSBC. He combines hands-on system design and DevOps practice with proven program-level delivery of complex front-to-back trading, risk and loan systems across China and Australia. Known for driving measurable ops improvements—team growth, automation, and multi-million-dollar portfolio management—he regularly translates business requirements into governed, scalable ML and analytics platforms on GCP. Sam is a longtime advocate of Agile, shift-left testing and vendor orchestration, and has repeatedly been recognized as a top performer and role model. A fluent technical generalist (Java, Python, C++) with a Master’s in Computer Engineering, he brings both deep financial domain knowledge and practical experience embedding AI/NLP into production workflows.
11 years of coding experience
14 years of employment as a software developer
Master of computer engineering, Computer Science, Master of computer engineering, Computer Science at University of New South Wales
学士, 计算机应用, 学士, 计算机应用 at Zhejiang University