About me

I’m an Applied Scientist at Amazon, building and optimizing large language models for real-world applications at scale. Currently, on the Prime Video Search team, I work on real-time query understanding for agentic search, integrating mid-sized LLMs into production systems that serve massive search traffic with strict latency requirements. This work centers on efficient inference, serving optimization, and the engineering trade-offs that make LLM-powered search feasible at scale.

Previously, I was on the Stores Foundational AI team, where I trained small to mid-sized LLMs and developed them into scalable production systems to enhance the shopping experience.

Before joining Amazon, I received my Ph.D. in Computer Science from the Korea Advanced Institute of Science and Technology (KAIST) in 2022, advised by Alice Oh. During my Ph.D., I interned as an Applied Scientist at Amazon and as a Research Scientist at Adobe.