Hyoung Ahn
Leader at NAVER Corp
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolHyoung Ahn is a Seoul-based software leader with eight years of experience building production-grade systems at Samsung Electronics and NAVER Corp, now leading the Cue System team. He blends hands-on engineering with technical leadership, having moved from senior engineering roles into management while continuing to contribute to core code. As an ML engineer contributor to the well-known nnstreamer project, he integrated TensorFlow Lite into a streaming neural network framework and added robust testing and tensor management features that improved model execution and performance. His background in computer engineering (한국기술교육대학교) underpins a practical focus on reliable, performant software for embedded and cloud-adjacent AI deployments. Colleagues describe him as pragmatic and detail-oriented, able to translate complex model-runtime problems into maintainable system features. He often bridges product needs and low-level implementation, making him effective at shipping ML-infused streaming solutions.
8 years of coding experience
10 years of employment as a software developer
공학사, 컴퓨터 공학(소프트웨어), 공학사, 컴퓨터 공학(소프트웨어) at 한국기술교육대학교
Github Skills (11)
machine-learning10
c-language10
tensorflow-lite10
cprogramming-language10
data-integration9
integrations9
gstreamer9
ai9
neural-network9
integrate9
tensorflow8
Programming languages (5)
Github contributions (5)
nnstreamer/nnstreamer
Jul 2018 - Jun 2021
:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
Role in this project:
ML Engineer
ML EngineerContributions:124 reviews, 123 commits, 114 PRs in 3 years
Contributions summary:Hyoung primarily worked on integrating TensorFlow Lite (TF-Lite) models into the NNStreamer framework. Their contributions involved uploading and integrating the core TF-Lite library, implementing an invoke function to run the models, and adding methods to manage and retrieve tensor dimensions and types. The user also developed and integrated unit tests to validate the TF-Lite integration, demonstrating a focus on model execution and performance within the stream processing context.
arrowscaffe2streamtensorflowtizen
helloahn/nnstreamer
Aug 2018 - Jun 2021
:twisted_rightwards_arrows: Neural Network (NN) Streamer for AI Projects.
Contributions:433 pushes, 120 branches in 2 years 10 months
arrowsstreamerdeep-learningmachine-learningneural-network
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