Yelin Jeong
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolYelin Jeong is a software engineer based in Seoul with eight years of experience building and optimizing AI systems, most recently on Samsung Research's AI System Team and now at Rebellions. She has hands-on expertise integrating neural network models into streaming pipelines, contributing to the well-known nnstreamer project by fixing tensor handling, memory management, and model compatibility issues for frameworks like PyTorch and TensorFlow Lite. Her strengths lie in making ML inference reliable and efficient on device-focused stream processing architectures, bridging research-grade models and production constraints. At Samsung Electronics she balanced deep technical problem-solving with product-minded delivery across AI system components. A Hanyang University graduate in Computer Software Engineering, she blends solid academic grounding with practical open-source impact. Colleagues describe her as a pragmatic engineer who surfaces subtle memory and dimensionality bugs before they affect deployments.
8 years of coding experience
Bachelor's degree, Computer Software Engineering, 4.25, Bachelor's degree, Computer Software Engineering, 4.25 at 한양대학교
Github Skills (9)
neural-network10
c1710
c1110
ai10
gstreamer10
tensorflow9
pytorch9
android7
caffe6
Programming languages (8)
Github contributions (5)
nnstreamer/nnstreamer
Dec 2021 - Dec 2022
:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
Role in this project:
ML Engineer
ML EngineerContributions:318 reviews, 17 commits, 52 PRs in 1 year
Contributions summary:Yelin primarily contributes to the NNStreamer project by addressing issues related to neural network model integration and optimization. Their work includes fixing bugs related to tensor handling and memory management within the tensor query component. They also enhance the project's compatibility by supporting new rank limits and resolving issues in the tensor filter for PyTorch and TensorFlow Lite models. Furthermore, they have worked on dimension declaration tests and updates.
arrowscaffe2streamtensorflowtizen
niley7464/nnstreamer-android
Apr 2024 - Dec 2024
Contributions:193 pushes, 130 branches in 8 months
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