Summary
Keeho Ahn is a machine learning researcher and NLP-focused data scientist with 10 years of experience building production ML systems and research-driven models. Based in Seoul, he has progressed from DL/NLP engineering in insurance and conversational systems to leading Image&Text ML and current LLM batch workflow work at 위대한상상(요기요), developing embedding/metric-learning and CLIP-based menu classification, abuse detection, and review/VoC analysis pipelines. He combines hands-on model development (Transformer/BERT, embeddings) with practical data-quality and ETL pipeline engineering, frequently bridging research techniques and product needs. Notably, he has driven food/menu standardization and discount-ranking initiatives that require aligning unstructured image and text signals to business taxonomies. His Yonsei Computer Science master's background supports a methodical approach to applied research and production deployment.
10 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Yonsei University 연세대학교
English