Summary
Steven Song is a senior backend engineer with eight years of experience building scalable systems for high-throughput, revenue-driven platforms. He’s delivered impactful work at Equativ/Sharethrough improving ad exchange efficiency and privacy compliance, and previously optimized recommendation quality and diversity on Twitter’s Home timeline. Comfortable across Scala, C#, and Node.js, he focuses on distributed services, rate limiting, and recommendation systems that move business metrics. Earlier roles show a pattern of building fast search and logging infrastructure for large datasets, and he brings practical cloud and NLP integration experience from LightBox. Based in Toronto, he combines production-first engineering with a knack for replacing brittle heuristics with measurable experiments to drive sustainable growth.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Toronto - Woodsworth College
Ontario Secondary School Diploma, Computer Science, Ontario Secondary School Diploma, Computer Science at Sir John A. Macdonald Collegiate Institute
Chinese, English