Summary
Bowen Cai is a quantitative technologist with nine years of experience building scalable data pipelines, real-time streaming systems, and analytics platforms across finance and e-commerce. He combines strong engineering skills in Python, Go, SQL, Kafka, Spark and Hadoop with hands-on experience managing PostgreSQL, MongoDB and Elasticsearch deployments. Bowen has delivered production data warehouses and ETL pipelines that powered GMV tracking, A/B testing insights and predictive models at companies including TikTok, eBay and hedge funds. Now based in Singapore and holding an MSc in Data Science and Machine Learning from NUS, he pivots naturally between research-grade modeling and production engineering. Notably, his background in physics informs a data-driven, quantitative approach to system design and anomaly detection in trading and marketplace contexts.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Fudan University
Master of Science - MS, Data Science and Machine Learning, Master of Science - MS, Data Science and Machine Learning at National University of Singapore