Mingcui Yang is a Machine Learning Engineer with a decade of experience building production software and cloud automation, currently working at Apple after transitioning from a software engineering role there. Trained at Carnegie Mellon (MS MIS) and with a BS in Statistics, Mingcui blends strong quantitative foundations with practical engineering—skills demonstrated by Terraform/Terragrunt deployment templates and Python test automation for Azure-based services during a cloud SDE internship. Fluent in English and Chinese and conversational in Korean, Mingcui navigates international teams and cross-functional requirements effectively. Comfortable across data analysis, finance-adjacent domains, and ML tooling, they focus on turning complex requirements into reliable, scalable systems. Less obvious: they pair enterprise-grade deployment experience with hands-on data/statistics background, enabling both model development and robust production delivery.
10 years of coding experience
Bachelor of Science in Statistics Statistics, Bachelor of Science in Statistics Statistics at Huazhong University of Science and Technology
Master of Science - MS Management Information Systems General, Master of Science - MS Management Information Systems General at Carnegie Mellon University
Contributions:2 releases, 17 commits, 20 PRs in 3 months
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