Jihoon Lee is a software engineer with 10 years of experience specializing in ML systems and MLOps, currently engineering machine-learning infrastructure at NAVER WEBTOON in Seoul. He has deep on-device ML experience from Samsung Electronics, contributing to NNTrainer and the widely used NNStreamer project to integrate multiple NN backends (including ARMNN) and robust testing flows. Comfortable across the stack, he has built gstreamer-based tensor streaming, Tizen ML APIs, and production services such as a video recommendation server during an internship at LINE. Known for pragmatic engineering, he combines low-level framework integration with deployment-focused testing and automation, making models reliably run on edge devices and production platforms.
10 years of coding experience
3 years of employment as a software developer
Exchange semester, Exchange semester at University of Leeds
Contributions:103 reviews, 20 commits, 20 PRs in 1 year 6 months
Contributions summary:Jihoon primarily contributed to improving the NNStreamer project, focusing on enhancements and bug fixes related to neural network frameworks and testing. They made changes to the testing infrastructure to accommodate the disabling of TensorFlow Lite, ensuring tests run correctly. The user also added an NNTrainer enum to the singleshot API, further integrating the project with different NN frameworks. Additionally, they modified code to include support for the ARMNN backend and other NN framework integration improvements.
Contributions:41 commits, 4 PRs, 27 pushes in 1 month
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