Jongmin Lee
Machine Learning Engineer (End-to-End Recommendations)
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJongmin Lee is a seasoned Machine Learning Engineer with over 20 years of software development experience and 12 years focused on production ML and recommendation systems. He has built end-to-end recommendation platforms—from big data pipelines and real-time gRPC services to ranking and retrieval models (Wide&Deep, DLRM, two-tower, BERT-based retrieval)—and shipped systems that measurably boosted CTR and conversion across e-commerce domains. His background in DBMS engine development (over 180k lines of C/C++ on hybrid and storage engines) gives him rare low-level expertise in storage, concurrency, and performance tuning that informs his large-scale ML infrastructure design. Jongmin has repeatedly taken services from research to production, designing fault-tolerant pipelines with Spark, Flink, Kafka, FAISS and Airflow while optimizing for high throughput and low latency. Based in Seoul, he combines deep systems thinking with creative problem solving—a claim supported by his role in developing the world’s first hybrid DBMS and productionizing BERT-based recommendation at scale.
12 years of coding experience
15 years of employment as a software developer
Master of Science (MS) Computer Science., Master of Science (MS) Computer Science. at Chung-Ang UniversityProgramming languages (1)
Github contributions (5)
lonslonz/PartitionRoller
Jun 2015 - May 2018
Contributions:10 commits, 14 pushes, 1 branch in 3 years
lonslonz/grus
Feb 2015 - May 2015
Contributions:16 pushes, 1 branch, 1 comment in 3 months
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