Technical Program Manager - AI R&D at KRAFTON Inc.
San Jose, California, United States
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Summary
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Rockstar
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Top School
Howon Lee is a Technical Program Manager and AI R&D leader with 14 years of experience building production-ready deep learning systems for gaming, avatars, and biomedical applications. Based in San Jose, he led KRAFTON’s Avatar Deep Learning Team to deploy generative models (diffusion, transformers, GANs) and real-time video-to-motion modules tailored for interactive game environments. He combines hands-on research instincts from an ABD PhD in New Biology with data-driven product impact, having driven major monetization and retention gains as a data scientist at PUBG. A practical engineer as well as manager, he contributes to open-source projects like PouchDB and Metabase, showing full-stack and analytics expertise beyond research. He also represents industry partners in national-scale AI initiatives, coordinating multimodal model design across vision, speech, text, and action. Always focused on translating cutting-edge models into scalable, user-facing systems, he seeks collaborations at the intersection of AI, games, and digital health.
14 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD) New Biology, Doctor of Philosophy (PhD) New Biology at DGIST (Daegu Gyeongbuk Institute of Science and Technology)
MSc Computing Specialism in Artificial Intelligence, MSc Computing Specialism in Artificial Intelligence at Imperial College London
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
Role in this project:
Back-end Developer
Contributions:305 reviews, 549 commits, 243 PRs in 1 year 6 months
Contributions summary:Howon primarily contributed to improving the functionality of the Metabase application. They focused on enhancing the query engine and fixed issues related to JSON column handling and group-by operations in MySQL. Furthermore, they addressed several bugs pertaining to static viz, including fixing for correct display, as well as working on enhancements to the audit application, indicating expertise in improving data analytics and related areas of the application.
Contributions summary:Howon primarily focused on enhancing the PouchDB library, contributing across both frontend and backend aspects. They addressed a CORS issue, implemented view querying functionalities, and refactored local storage handling, demonstrating proficiency in JavaScript and web database interactions. Additionally, the user improved testing and made changes for Cordova/PhoneGap compatibility, showcasing adaptability to diverse environments.
pocketjavascriptdatabasepouchdbcouchdb
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