Summary
Jing Wong is a machine learning-focused software engineer with 11 years of experience building recommendation and backend systems at scale, most recently contributing to ML and backend work at Airwallex and Defog.ai after leading recommendation efforts at Twitter. He combines rigorous technical design with a tinkerer’s curiosity—reflected in work ranging from finetuning text-to-SQL models and metadata pruning to architecting low-latency graph ML pipelines that served multiple product teams and saved five-figure annual costs. Comfortable across the stack, Jing has shipped production ML pipelines, unified multi-objective recommendation models, and built reproducible evaluation frameworks for SOTA models like sqlcoder-8b. Based in Singapore, he pairs disciplined engineering with creative interests in math, photography, and Baroque music, and often frames problems with both product impact and operational robustness in mind.
11 years of coding experience
10 years of employment as a software developer
Raffles Institution
Engineer’s Degree Industrial and Systems Engineering, Engineer’s Degree Industrial and Systems Engineering at National University of Singapore
English, Chinese, French, Korean