Summary
Yiran Jing is a Machine Learning Engineer based in Sydney with eight years of hands-on experience building scalable ML solutions, currently focused on multi-node, multi-GPU training tools for Canva’s ML Platform. With a strong academic foundation in Statistics and Computer Science (HD average) and minors in Business Analytics and Data Science, she blends rigorous quantitative modeling with practical production engineering. Her background spans end-to-end ML work—from ARIMA/DeepAR+ forecasting on AWS SageMaker and Lambda-driven inference to PySpark-driven commercial analytics that cut runtime from five hours to under 30 minutes. Comfortable across research and product settings, she has contributed to both fintech and retail analytics, led model lifecycle monitoring on MLflow, and mentors Python learners. Outside of work she channels the same discipline into CrossFit, dance and bodybuilding, reflecting a data-informed, performance-oriented approach to both engineering and life.
8 years of coding experience
1 year of employment as a software developer
The University of Sydney
Chinese, English