Summary
Sungju Kwon is a development team lead at NAVER with 11 years of experience building high-performance Java backends and over three years focused on production recommender systems for the BAND service. He designed and operates large-scale recommender pipelines serving ~100M page views/day and previously built feed APIs handling 200–300M PV/day with sub-50ms responses. Comfortable across the ML stack (TensorFlow, Spark MLlib, Hadoop) and backend engineering (Spring, Cassandra, Memcached), he bridges model lifecycle management and low-latency system design. His background includes Android performance engineering on dodol Launcher and a track record of turning research-level models into robust, production services. Based in Gyeonggi, South Korea, he combines deep hands-on engineering with team leadership to deliver measurable product impact.
12 years of coding experience