Hyungsuk Yoon is a Senior Staff Machine Learning Engineer in San Francisco with 11 years building production ML infrastructure, model-serving, and mobile-focused deep learning. At MOLOCO he has progressed from senior engineer to senior staff, leading ML infra workstreams including training, serving, feature stores, hardware accelerators and data quality. He brings hands-on ML-Ops experience running TFServing on GKE and optimizing model stacks for mobile, and contributed bug fixes and platform improvements to the widely used ncnn mobile inference framework. An IOI 2009 gold medalist, he combines strong algorithmic foundations with pragmatic engineering for low-latency, resource-constrained environments. Collected roles across startups and research show he moves fluidly between model development, quantization/knowledge distillation, and backend reliability engineering.
11 years of coding experience
9 years of employment as a software developer
공학사, Computer Science and Engineering, 공학사, Computer Science and Engineering at Seoul National University
김해영운고등학교
Information Technology, Information Technology at Uppsala University
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Role in this project:
Backend Developer & QA Engineer
Contributions:6 commits, 11 PRs, 9 comments in 7 months
Contributions summary:Hyungsuk primarily contributed to bug fixes within the ncnn framework, focusing on x86 and ARM-related optimizations. Their work involved addressing issues in convolution operations and code signatures. Additionally, the user corrected issues with data parsing tools, as indicated by updates to the `ncnn2mem.cpp` file. They also corrected and refined the testing framework by renaming and updating test files.
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Hyungsuk Yoon - Senior Staff Machine Learning Engineer at Moloco