Summary
Zehui Ji is a Solutions Architect and seasoned data professional based in Melbourne with nine years’ experience turning complex data into business impact across banking, retail, real estate and entertainment. Having progressed at ANZ from Data Scientist to Data Engineering Lead and now Solutions Architect, Zehui blends deep machine learning and remote sensing research expertise with cloud-native data engineering and analytics architecture. A Monash Master of Data Science graduate (GPA 3.87) and former research assistant, he led large-scale satellite image ETL and time-series CNN work—managing 27 TB of GIS data and authoring thousands of lines of production code. He excels at building end-to-end ETL, automation and model deployment pipelines, and is comfortable interfacing with cross-disciplinary teams and external partners (including CNES). Curious about NLP, recommender systems and automation, Zehui brings a rare mix of academic rigor and hands-on engineering to deliver pragmatic, production-ready AI solutions.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.) Computer Science and Technology, Bachelor of Applied Science (B.A.Sc.) Computer Science and Technology at Xidian University
Master of Data Science Data Science, Master of Data Science Data Science at Monash University
English, Chinese