Wonhyuk Yang

PHD Student at Parallel System Architecture Laboratory (PSAL) at POSTECH

Pohang-si, South Korea
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Summary

👤
Senior
🎓
Top School
Wonhyuk Yang is a PhD student in Artificial Intelligence at POSTECH with a decade of practical software engineering experience across embedded systems, GPU clustering, and virtualization performance optimization. He has built firmware for STM32-based hyperspectral imaging pipelines, implemented UVC streaming, and developed resource-managed GPU clusters using Kubernetes, demonstrating a strong bridge between low-level hardware work and cloud-native orchestration. At ETRI-related projects he focused on GVM environment lock-performance tuning, reflecting deep performance engineering skills in virtualized systems. Based in Pohang, he combines ongoing doctoral research in parallel system architecture with hands-on product development, making him adept at turning research insights into deployable systems. Colleagues note his uncommon mix of embedded firmware craftsmanship and cluster-scale orchestration expertise.
code10 years of coding experience
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at 포항공과대학교
book학사, 기술융합공학, 컴퓨터공학, 학사, 기술융합공학, 컴퓨터공학 at 건국대학교
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Github Skills (39)

simulator10
pytorch9
onnx9
multicore9
kernel9
oracle8
simulation-framework8
linux8
xiaomi8
linux-kernel8
inference7
deep-learning7
compiler7
zen6
oracle-linux5

Programming languages (7)

TypeScriptC++ShellVHDLCJavaScriptPython

Github contributions (5)

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PSAL-POSTECH/PyTorchSim

Aug 2025 - Jul 2026

PyTorchSim is a Comprehensive, Fast, and Accurate NPU Simulation Framework
Contributions:1 review, 9 PRs, 253 pushes in 11 months
simulation-frameworkcompilerdeep-learningnpupytorch
YWHyuk/WAIOS

May 2021 - Nov 2022

Contributions:8 commits, 13 pushes, 1 branch in 1 year 6 months
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