Jungoย Kim
ML Agile Lead at Toss
Seoul Incheon Metropolitan Area South Korea
Summary
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Top SchoolJungo Kim is an ML Agile Lead with 10 years of experience building production recommendation systems and ad models across e-commerce platforms. After winning a major Kakao data competition, he progressed from web and ad platform engineering into designing LLM-based recommendation foundation models, contrastive-task embeddings, graph-convolutional recommenders, and session-aware sequence models at Gmarket and Toss. He combines hands-on model development (LoRA fine-tuning, InfoNCE contrastive learning) with practical deployment experience to improve both recommendation quality and business metrics like CTR/CVR. His background as a data engineer and web runtime developer gives him a rare end-to-end perspective on data quality, feature engineering, and system performance that informs robust ML in production.
11 years of coding experience
3 years of employment as a software developer
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Korean, EnglishProgramming languages (1)
Github contributions (5)
luckypapa/AMAG
Jul 2015 - Sep 2015
Contributions:11 commits, 7 PRs, 3 comments in 2 months
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