Summary
Wei Low is a Senior Data Scientist with 9 years of experience building production-grade ML and AI systems across e-commerce and Web3, currently developing fraud models and agentic systems at Binance. He specializes in NLP, VLMs, LLMs, multilingual translation stacks and evaluation frameworks like LLM-as-a-Judge, and has a track record of deploying high-scale, cost-saving models (e.g., cutting translation vendor costs by 35% at OKX). Past roles at Shopee and OKX show strong operational rigor—maintaining >98% precision spam detection, running 40+ concurrent web crawlers, and supporting dashboards for 57K+ influencers—while his research work explores LLM-driven code repair for Verilog. A skilled tinkerer and competitive Kaggler (top 12% GA revenue prediction) who writes about ML, Wei blends rigorous academic training from Georgia Tech and Stanford NLP coursework with hands-on product impact. He’s comfortable translating complex model outputs into actionable pipelines and real-time alerting systems that measurably improve business outcomes.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Mathematics and Economics, Bachelor's degree, Mathematics and Economics at Nanyang Technological University Singapore
Student Exchange Program, Mathematics and Economics, Student Exchange Program, Mathematics and Economics at Charles University
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Professional Certificate of Artificial Intelligence, Natural Language Processing with Deep Learning, Professional Certificate of Artificial Intelligence, Natural Language Processing with Deep Learning at Stanford University
English, Chinese, Malay