AI PRODUCT · SEOUL
I turn complex business workflows into AI products people can use. I love earning people's trust and helping them take a step that benefits them. Across projects, I have translated domain expertise and practical decision criteria into executable rules and systems. I set product direction, work with teams on implementation and evaluate the results.
Enterprise AI · product leadership
Experience as CPO, spanning product direction, customer requirements, evaluation criteria, experiment design and implementation. Work includes agent optimization, an AI nutritionist, a utility chatbot and automotive document automation.
Language AI data
Language AI data work across IRQA simplification, spam detection, aspect sentiment, dialogue contradiction, financial named entities and FAQ questions.
Planning · building · release
Tago Write and Tago Voca: independent apps built and released with AI, connecting a learning problem to a working product.
Presented MEGA Code in the Startup Demo Day program at the AI in Production mini conference in San Francisco.
Co-hosted a MEGA Code workshop on evaluating agent reliability and building repeatable improvement loops for production.
Co-hosted a discussion and demo on executable, observable and optimizable agent workflows, hosted at Plug and Play Tech Center.
Co-hosted a meetup connecting agent evaluation, runtime traces, debugging and iterative optimization.
MEGA Code was selected as one of seven demo teams from more than 100 applications.
Our travel-agent team won an award. Coverage names BBB Project and the Wonderline service.
Built an AI copilot to help foreign residents navigate everyday administrative procedures. StartupRecipe interviewed me about the problem and reported our team’s award.
My analysis of vocabulary in Korea Immigration & Integration Program textbooks is cited in the Academy of Korean Studies’ 2025 textbook-corpus project and Lee Jong-jin’s 2024 master’s thesis at Sungshin Women’s University.
Recognized for language and culture knowledge-sharing activities in JOINUS KOREA’s official annual announcement.
Turn execution traces into reusable knowledge.
Expert meal-planning judgment, translated into rules.
Everyday language, connected to real service actions.
Document generation with traceable engineering changes.
From a first Korean sentence to revision and daily practice.
Follow words in context, then return through personalized practice.
Start from the scene, character or image that needs work.
Experience becomes knowledge. Sharing that knowledge deepens understanding and helps us grow together. Growth opens the way to new experiences—and the cycle continues.
Developing my abilities and perspective through experience, learning and sharing. Becoming capable of more, with new challenges to explore.
Trying different fields, environments and ways of working. Learning about myself and the world firsthand, with each experience becoming a starting point for knowledge.
Reflecting on experience and finding meaning in data. Building understanding I can apply in another situation and explain to someone else.
Passing on my experiences, knowledge and perspective. Deepening understanding through questions and feedback, so the learning helps others grow too.