Summary
Sophie Kim is a software engineer with 10 years of experience specializing in large-scale, low-latency ad and data platforms, currently building real-time Ad DMP systems at NAVER. She has designed distributed user ID generation handling over 5M TPS, a JSON-driven Spark Streaming framework adopted across 10 projects, and audience segmentation and retargeting features that materially boosted conversion and revenue. Previously she led a data platform TF at Kakao Enterprise and built high-throughput analytics pipelines and resilient Kafka/Druid operations, accelerating data access by an order of magnitude. With a strong academic background in electrical and computer engineering (Master’s, DataMining Lab) and a track record of turning complex streaming requirements into reusable frameworks, she pairs research-caliber rigor with product-focused execution. An unusual strength is her focus on developer efficiency—her frameworks cut resource use and dev time by over 80%, enabling rapid, scalable delivery across teams.
10 years of coding experience
3 years of employment as a software developer
Master's degree, DataMining Lab. Electrical and Computer Engineering, 4.38 / 4.5, Master's degree, DataMining Lab. Electrical and Computer Engineering, 4.38 / 4.5 at University of Seoul
English, Korean