Uiseop is a research-minded software engineer with 10 years' experience building scalable data pipelines and high-throughput systems, currently a Research Resident at ML2 in Seoul. He has led MVP development of an AI-driven CRM notification platform that combined intelligent scheduling, AI segmentation, and queue-based TPS control to deliver reliable, large-scale message dispatches under stress. Prior roles include engineering an investment RAG assistant and an AI recommendation engine with multi-language SDKs and model serving on AWS, reflecting strong end-to-end system design and production ML tooling. His background blends computer science engineering with linguistics from Seoul National University, and an uncommon early-career stint managing communications in a UN peacekeeping mission—evidence of practical resilience and cross-cultural collaboration. Curious about human dynamics, he pairs research instincts with hands-on optimization to improve performance, resilience, and user engagement in high-throughput environments.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Linguistics, Bachelor of Arts - BA, Linguistics at 서울대학교 (Seoul National University)
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Seoul National University
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