Hongtae Kim is an AI/ML consultant with 11 years of industry experience, currently advising AWS after nearly eight years in applied research at NCSOFT. He specializes in recommendation systems, focusing on bias mitigation, out-of-distribution robustness, causal/counterfactual analysis, and memory- and latency-efficient serving pipelines. His work spans multi-modal models, LLM-enabled recommender approaches, and knowledge-graph construction, and he has presented research at venues like NCDP 2023. With a Master’s in Data Mining and a background in industrial engineering from Seoul National University, he pairs rigorous research skills with production deployment experience. Outside ML, his GitHub interests in game engines, physics, GPGPU and Vulkan hint at deep systems and performance expertise that inform his approach to efficient model serving.
11 years of coding experience
10 years of employment as a software developer
Master's degree, Data mining, Master's degree, Data mining at 서울대학교 (Seoul National University)
SPIRV-Cross is a practical tool and library for performing reflection on SPIR-V and disassembling SPIR-V back to high level languages.
Contributions:10 pushes, 9 branches in 2 years 9 months
high-levelspirv-crosspracticalspir-vspirv
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Hongtae Kim - AI ML Consultant at Amazon Web Services (AWS)