Summary
Byeongchang Kim is a machine learning engineer at Karrot in Seoul with 11 years of experience spanning NLP research and quantitative trading. He earned a PhD in Computer Science and Engineering from Seoul National University, supported by Google and NAVER PhD Fellowships, and has authored widely-cited work on knowledge-grounded dialogue and multimodal models. At SNU he built large datasets, novel model architectures, new decoding methods, and a ~200-GPU compute cluster, bridging research and production infrastructure. After academia he applied his research rigor to quant trading at a startup, designing scalable models and infrastructure that outperformed market benchmarks for three consecutive years. Now he focuses on home feed recommendation systems, combining deep NLP expertise with hands-on systems engineering. An underappreciated strength is his ability to move projects end-to-end—from dataset curation and model innovation to deployment at scale.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at 서울대학교 (Seoul National University)
English, Korean