Jijoong Moon
Principal Software Engineer at Samsung Electronics
Hwaseong-si, South Korea
Summary
👤
Senior🎓
Top SchoolJijoong Moon is a Principal Software Engineer at Samsung Research with over a decade of R&D experience in high-performance computing, compiler optimization, and on-device neural network acceleration. He founded and maintains NNTrainer and is a key contributor to NNStreamer, bringing deep expertise in GStreamer plugins, tensor stream synchronization, and unit-tested backend implementations. His background spans LLVM/Clang compiler work (OpenMP/OpenACC, alias analysis, Checked C), NPU compiler backends, and SIMD/GP-GPU optimization for mobile devices, grounded in a Ph.D. in structural engineering and parallel computing. Known for turning research ideas into production-grade open source, he blends low-level systems thinking with practical ML deployment on constrained hardware. Colleagues rely on him for pragmatic architectures that squeeze performance from multicore and accelerator stacks while keeping codebases maintainable. Based in Hwaseong-si, South Korea, he’s currently focused on LLVM, operating systems, and streaming neural network frameworks.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Structural Engineering & Parallel Computing, Doctor of Philosophy (Ph.D.) Structural Engineering & Parallel Computing at Seoul National University
Github Skills (10)
tensorrt10
tensor10
tensorflow10
gstreamer10
python9
apidoc9
cprogramming-language9
machine-learning9
c-language9
api9
Programming languages (8)
Github contributions (5)
nnstreamer/nnstreamer
May 2018 - Mar 2020
:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:2 reviews, 115 commits, 115 PRs in 1 year 10 months
Contributions summary:Jijoong primarily contributed to the development of a GStreamer plugin, likely for processing neural network streams, with the implementation of a tensor decoder. Their work included adding support for various tensor operations and implementing a mechanism for handling multiple tensor streams. They also refactored the plugin's code for better management and introduced a time synchronization feature for the tensor streams. The user also added unit tests to validate their work.
arrowscaffe2streamtensorflowtizen
jijoongmoon/nnstreamer
Aug 2018 - Dec 2024
:twisted_rightwards_arrows: Neural Network (NN) Streamer for AI Projects as Gstreamer Plugins. Until CI/CD systems gets integrated to github.com, this repo will be simply mirroring.
Contributions:305 pushes, 77 branches in 6 years 4 months
arrowsintegratedstreameruntilmirroring
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