Chun Lee is a Senior Principal Data Scientist based in Singapore, currently leading advanced ML efforts at H2O.ai. A Carnegie Mellon-trained engineer with an MBA from London Business School, he blends rigorous CS foundations with product and business acumen. Chun is a Kaggle Competitions Grandmaster with multiple first- and second-place finishes on high-profile Jigsaw and Feedback Prize challenges, showcasing deep expertise in NLP and multilingual modeling. He has progressed rapidly from systems developer and finance analyst roles into senior data science leadership, bringing a pragmatic, production-first mindset. Known for turning competition-winning prototypes into robust solutions, he focuses on scalable, interpretable AI that addresses real-world risk and content-moderation problems. Despite only a few years formally titled in data science roles, his track record demonstrates outsized impact across research, engineering, and applied ML.
3 years of coding experience
4 years of employment as a software developer
Master of Business Administration (M.B.A.), Master of Business Administration (M.B.A.) at London Business School
BSc, Computer Science, BSc, Computer Science at Carnegie Mellon University
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
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