Ng Wanzhen is a Data Engineering Manager based in Singapore with nine years of hands-on experience building data platforms and ML-powered production workflows. She has led cloud migrations and CI/CD for model deployment at AirAsia and now runs MLOps, data discovery, and streaming experiments at Global Fashion Group, working with tools like MLflow, Feast, Trino, Iceberg and RayServe. Her background combines a decade of development, project and product management across finance and aviation, enabling her to translate complex business requirements into reliable, observable data systems. Comfortable across AWS, GCP and EKS, she has practical experience integrating event streams, search, and analytics to drive operational improvements and revenue optimization. A General Assembly web-development alumnus with an accounting and finance degree from Nanyang Technological University, she brings both technical curiosity and commercial sense to data initiatives. Colleagues describe her as a continuous learner who enjoys tackling new architecture challenges and experimenting with GenAI and emerging infra.
9 years of coding experience
16 years of employment as a software developer
Web Development Immersive, Web Development Immersive at General Assembly
Bachelor's degree (Hons.), Accounting and Finance, Bachelor's degree (Hons.), Accounting and Finance at Nanyang Technological University
IoT project with mobile app interface (React Native). Upon device detecting impact, connected mobile phone will send SMS with info on your current location and health status to your pre-set emergency contacts.
Contributions:27 commits, 5 PRs, 23 pushes in 14 days
Contributions:15 pushes, 2 branches in 1 year 4 months
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