Summary
Seungbin Lee is a seasoned software engineer based in Seoul with 10 years of experience specializing in e-commerce search, information retrieval, and machine learning. He has built production-ranking systems and ML models—spell correction, keyword generation, category classification, and local click estimation—at scale for major Korean platforms like Yanolja and Coupang. Proficient in Java, Spring, Elasticsearch/Solr, Scala, Spark, Python, Hive and Kotlin, he also designed ETL pipelines and a ranking-quality evaluation pipeline enabling quantitative improvements. His work reduced search tail latency substantially (P99.9 -60%, P99 -20%) while surfacing long-tail items via targeted ranking features. Trained with a master’s in computer science, he combines research-grade modeling instincts with pragmatic, performance-first engineering for high-traffic e-commerce search.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Computer science and engineering, Master's degree, Computer science and engineering at 서강대학교
English, Korean