Summary
Song L is a Staff Software Engineer with 9 years of experience building high-performance, low-latency trading and enterprise systems across Java, Kafka, ClickHouse, and cloud services. He has led development of a SaaS social trading platform and a FIX-based core trading engine that handles high-throughput market data and execution, and previously delivered B2B trade finance and data-lake solutions with strong test coverage. Based in Beijing and Singapore, Song pairs a Distinction postgraduate degree in Data Science with practical expertise in streaming, storage, and real-time analytics, having persisted billions of ticks and thousands of klines. Known on GitHub as CoderSong, he blends deep backend systems knowledge with hands-on integration of front-end and visualization stacks, and often opts for pragmatic engineering choices to meet strict latency and reliability targets.
9 years of coding experience
10 years of employment as a software developer
Diploma Business IT, Diploma Business IT at Ngee Ann Polytechnic
Bachelor Mathematics and Economics, Bachelor Mathematics and Economics at University of London
Postgraduate - Distinction Data Science, Postgraduate - Distinction Data Science at Goldsmiths, University of London
Spanish, English, Chinese