Summary
Junkai Yeo is a software engineer with nine years of experience specializing in low-latency distributed microservices, NoSQL systems, and productionizing ML-driven ranking and retrieval for ad tech. Currently shaping global e-commerce content recommendation architecture at TikTok, he previously led retrieval, ranking and feature engineering efforts at Grab, shipping forecasting and model deployment features for advertiser-facing products. Comfortable across the stack, Junkai blends big-data tooling with pragmatic backend design to deliver scalable, high-throughput systems for real-time decisioning. He began his career building internal automation and end-to-end product features in government and university settings, giving him a strong foundation in reliable tooling and user-focused design. Based in Singapore with a Computer Science degree from NUS, he brings a mix of research-quality thinking and hands-on production experience that surfaces in both model-aware engineering and system-level optimization.
9 years of coding experience
6 years of employment as a software developer
NUS University Scholars Programme
Bachelor of Computing (Honours) Computer Science, Bachelor of Computing (Honours) Computer Science at National University of Singapore