Summary
Donghwa Kim is an algo engineer with 10 years of experience building production ML and large-scale ranking systems, now applying that expertise at Hudson River Trading. He served as Senior Software Engineer and tech lead for YouTube Live discovery ranking, shipping real-time recommender pipelines and ranking models at scale across Seoul and New York. His background spans backend engineering, NLP, and DevOps at Devsisters and AI fairness and self-supervised learning research at KAIST, giving him rare depth across both research and production. The move into algorithmic trading reflects a pattern of translating robust ML and low-latency systems thinking into high-throughput, high-stakes domains while bridging global product and research teams.
11 years of coding experience