I am a Senior Applied Scientist at Thomson Reuters Labs, where I lead applied science efforts to build and advance AI agents for legal professionals. My current R&D focuses on developing sophisticated customer content search systems that seamlessly combine cutting-edge Large Language Models (LLMs) with classical Information Retrieval (IR) and Natural Language Processing (NLP) techniques.

Recently, I spearheaded the science development of a hybrid search architecture for the CoCounsel AI agent, featuring LLM-based document ingestion, dynamic query intent formulation, and highly efficient neural reranking models for cloud deployment. I regularly collaborate cross-functionally with Subject Matter Experts to build robust evaluation pipelines and legal taxonomies.

My expertise spans a wide range of language processing—from theoretical and hands-on neural network modeling (including open-source transformer contributions and training from scratch) and machine translation systems, all the way up to applied R&D for AI agents in specialized domains. I hold a Ph.D. in Computer Science and Engineering from Pohang University of Science and Technology.