Summary
Alice Hung is a Data Platform Engineer with over a decade of experience building production data pipelines and streaming analytics, currently at Atlassian after leading data engineering and model production efforts at Caterpillar. She blends deep research rigor—a PhD in Engineering with biophysics and finite element expertise—with practical mastery of Databricks, Spark Structured Streaming, Flink, Delta Lake, and Azure MLOps to deliver robust, scalable solutions for spatial-temporal and industrial datasets. Comfortable across Python, R, Java/Kotlin, SQL and containerized CI/CD environments, she has a track record of turning complex scientific models into operational data products for mining equipment analytics. Notably, her academic collaboration with WETA on biomechanical face modelling reflects an unusual combination of computational mechanics and applied data engineering that informs her approach to difficult, real-world problems.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, ENGINEERING, Doctor of Philosophy - PhD, ENGINEERING at The University of Auckland
Doctor of Philosophy - PhD, Engineering, Doctor of Philosophy - PhD, Engineering at University of Auckland
English, Chinese, Chinese