Summary
Yiming Peng is a Senior Software Engineer and PhD-trained machine learning specialist with two decades of programming experience and a 15-year focus on AI, MLOps and DataOps. He has led cloud data warehouse migrations and full data lifecycle projects across New Zealand public and private sectors, currently contributing at Wētā FX after recent roles at Unity and government agencies. His research background in computer vision, pattern recognition and reinforcement learning produced 15 publications and practical systems that improved ecological image classification from ~56% to ~84%. Comfortable in Python, Java, MATLAB and SQL, he thrives in large codebases and building production-grade ETL, reporting and ML platforms. An experienced educator and public speaker, he blends academic rigour with industry delivery and a longstanding commitment to continuous learning.
11 years of coding experience
12 years of employment as a software developer
Master's degree, Computer Science, A+ (First-class Honours), Master's degree, Computer Science, A+ (First-class Honours) at Auckland University of Technology
Doctor of Philosophy (Ph.D.), Machine Learning and Artificial Intelligence, Complete, Doctor of Philosophy (Ph.D.), Machine Learning and Artificial Intelligence, Complete at Victoria University of Wellington
Bachelor's degree, Computer Science, A (Average), Bachelor's degree, Computer Science, A (Average) at Wuhan University of Technology
English, Chinese