Summary
Soeun Park is a Machine Learning Engineer with 12 years of experience building and operating large-scale, cloud-native systems for ML-powered products at NAVER and Kakao. She led end-to-end development and productionization of Papago Pro’s translation service, designing scalable backends and improving GPU utilization by over 70% through efficient containerization and scheduling. Comfortable across the stack, she has hands-on expertise with Kubernetes, Spring Boot, Kotlin/Java, MySQL, Kafka, and Redis, and a track record of turning research-grade ML models into robust serving systems. She has also driven platform stability for high-DAU services like Kakao Music and automated operational tooling with Python. Based in South Korea and grounded in an economics degree from Korea University, she combines pragmatic engineering with a user-focused mindset. Colleagues describe her as a happy programmer who pursues continual improvement and measurable impact.
12 years of coding experience
8 years of employment as a software developer
Bachelor's degree Economics, Bachelor's degree Economics at Korea University
German, English, Korean