Summary
Pei-yun Sun is a data engineer with eight years of experience applying statistical rigor and production engineering across finance, aviation, and regulatory sectors. Holding a PhD in Mathematics and Statistics and a Master of Data Science from the University of Melbourne, she blends strong theoretical foundations with hands-on pipeline building, data migrations, and GenAI projects at organisations including NAB, Virgin Australia and ASIC. Her background in computer vision and sensor fusion—from research on depth-map super-resolution and facial recognition to vehicle classification—adds uncommon expertise for feature engineering and ML-aware data infrastructure. She has taught machine learning and multivariate statistics, demonstrating an ability to translate complex concepts into practical solutions and assessments. Based in Melbourne, Pei-yun is equally comfortable bridging research and production, turning academic insights into robust, scalable data systems.
8 years of coding experience
5 years of employment as a software developer
Exchange Computer Science, Exchange Computer Science at Tokyo Institute of Technology
The University of Melbourne
Chinese, English