Summary
Weixin Liu is a Senior Data Scientist based in Singapore with 8 years of experience building production-grade machine learning and risk systems across fintech and e-commerce. He has led teams at SeaMoney to deliver a knowledge graph platform and realtime fraud/risk models for retail and SME finance across Asia, and previously architected end-to-end ML platforms and transformer-based transaction forecasting at Airwallex. His background spans reinforcement learning for multi-armed bandit A/B optimization, scorecard credit screening, recommender systems, and high-precision anomaly detection that improved defect screening to 99.7%. Comfortable both as a hands-on modeler and a technical lead, he blends physics-trained analytical rigor with practical ML engineering to turn complex data into revenue-protecting systems. Notably, he has repeatedly deployed realtime risk pipelines and knowledge-graph-driven user embeddings to strengthen fraud detection and customer management at scale.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Illinois at Chicago
Bachelor's degree, Physics, Bachelor's degree, Physics at Shenzhen University
Chinese, English, cantonees