Mark Wong
Machine Learning Engineer - E-commerce Recommendation
Singapore
Summary
👤
Senior🎓
Top SchoolMark Wong is a Machine Learning Engineer specializing in e-commerce recommendation systems, currently applying ML at TikTok after roles at SAP, Dell, and Shopee. With a strong foundation from the National University of Singapore and hands-on experience across Big Data, NLP, time-series forecasting and production model serving, he has improved forecasting accuracy, sped up data pipelines, and built high-precision NLP classifiers. He combines backend engineering (PySpark, Airflow, Flask) with model development (TensorFlow, XGBoost, scikit-learn) to move prototypes into scalable production, notably correcting 45% of noisy onboarding data at Dell and boosting demand forecast accuracy by 25% at Shopee. Comfortable across web stacks from React to GraphQL, he brings a global perspective and a track record of cross-functional impact that belies his years, blending rapid learning with pragmatic delivery.
9 years of coding experience
2 years of employment as a software developer
Hong Kong University of Science and Technology (HKUST)A-Level, 13, A-Level, 13 at Gems Cambridge International School Abu DhabiBachelor of Computing, Computer Science, Bachelor of Computing, Computer Science at National University of Singapore
Spanish, English, Chinese, Chinese
Github Skills (32)
macos-mojave10
hackintosh10
catalina10
ventura9
opencore9
macos-installer9
emulation9
kvm8
qemu8
virtualization7
utm7
gnu7
macos7
mining6
android6
Programming languages (10)
Github contributions (5)
markmcwong/tp
Feb 2021 - Apr 2021
Contributions:137 pushes, 15 branches in 2 months
markmcwong/markmcwong.github.io
Dec 2016 - Aug 2023
Contributions:41 pushes, 3 branches in 6 years 9 months
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