Summary
Jonathan Lin is a data engineer with 11 years of experience who blends NLP, econometrics, and machine learning to turn conversational and community data into actionable stories. Based in Shibuya, he has progressed from text analyst and market research roles to leading NLP and real-time analytics work at Indigo Slate and machine learning initiatives across GMO group companies. He specializes in building end-to-end pipelines—labeling data, containerizing models, and serving real-time APIs—for intent detection, anomaly detection, keyphrase extraction, and trend modeling. His background in library and information science and international relations gives him a unique lens for structuring multilingual and culturally informed data projects. Colleagues rely on him to translate messy conversational data into clear metrics and product-ready models that surface user needs and community dynamics.
11 years of coding experience
13 years of employment as a software developer
Master of Library & Information Science (MLIS), Library and Information Science, 3.68, Master of Library & Information Science (MLIS), Library and Information Science, 3.68 at University of Washington
Bachlor of Arts degree, Economics & Asian Studies, Bachlor of Arts degree, Economics & Asian Studies at University of Denver
Study Abroad, Study Abroad at Chukyo University
Master of Arts degree, International Relations, Master of Arts degree, International Relations at Waseda University
Certificate of Completion, Japanese Language, Certificate of Completion, Japanese Language at Aichi Center for Japanese Studies
English, Japanese