Summary
Dongwon Kim is a Senior Software Engineer with 10 years of experience building large-scale data platforms and recommender systems across major Korean tech and finance companies. He has led technical teams at NAVER FINANCIAL and Dreamus, driving Hadoop-to-cloud migrations, data lake architectures, and real-time recommendation pipelines that support millions of users. His hands-on stack spans Python, Scala and Java plus Spark, Hive, Presto, Kafka, Faiss/Annoy and orchestration tools like Airflow and Nomad. Dongwon combines ML-driven personalization (LightGBM, FastText, CNNs for MIR) with robust data engineering practices such as CDC, Kerberos/Ranger security, and automated ingestion workflows. Now at Viva Republica (Toss), he focuses on scalable, production-grade systems that bridge data science and platform reliability. Outside work he channels analytical pattern recognition into music and gaming—building playlist recommenders by day and playing acoustic guitar and League of Legends by night.
10 years of coding experience
7 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Yonsei University