Summary
Siran Yang is a Melbourne-based Data Engineer with 13 years of experience building and productionising data and AI pipelines using AWS, Snowflake, and dbt. He specialises in secure data orchestration—SFTP, PGP, and masking—and delivers clean, well-modelled datasets that enable AI readiness and reliable pipeline monitoring. His recent roles at Sapia.ai and Latitude Financial Services highlight a focus on operationalising modular AI workflows in both startup and regulated financial environments. With a background spanning software engineering and academic credentials from UC Irvine, University of Melbourne, and a MS from University of Tasmania, he combines strong engineering fundamentals with applied data practices. Colleagues know him as a pragmatic builder who “learns things and builds stuff,” often surfacing subtle data-quality fixes that unlock model performance.
13 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Information Technology, Master of Science - MS, Information Technology at University of Tasmania
The University of Melbourne
University of California, Irvine