Donghyun Hwang

Machine Learning Engineer at Viva Republica (Toss)

South Korea
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Summary

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Senior
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Top School
Donghyun Hwang is a Machine Learning Engineer with 10 years' experience building end-to-end, product-focused ML systems that span data pipelines, model training, GPU-optimized inference, and on-device deployment. He has driven production face-recognition and anti-spoofing systems at scale—delivering Android calibration SDKs, stereo depth prototypes, and Triton-backed inference stacks for commercial edge devices. Previously he led AI infrastructure and biomedical signal modeling work, building a Kubernetes FaaS that cut inference latency by ~1,000× and producing a real-time preterm birth prediction prototype with 94% accuracy. Comfortable bridging research, infra, and product, he thrives on making ML reliable in constrained hardware environments and improving operational efficiency by an order of magnitude. Based in South Korea, he blends hands-on implementation with system-level optimization and a pragmatic focus on user-facing impact.
code10 years of coding experience
job1 year of employment as a software developer
book석사, Electrical and Electronic Engineering, 석사, Electrical and Electronic Engineering at 서울과학기술대학교
bookBachelor's degree, Electric, Electronic, Control Engineering, 3.23, Bachelor's degree, Electric, Electronic, Control Engineering, 3.23 at 한경국립대학교
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Stackoverflow

Stats
1reputation
351reached
1answer
1question
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Github Skills (102)

file-format10
voc10
darknet10
xml10
ai9
object-detection9
computer-vision9
python9
deep-learning9
lifecycle9
pytorch9
scaling9
machine-learning9
segmentation9
visual-recognition9

Programming languages (12)

TypeScriptHCLDockerfileC++CSSShellMakefileJavaScript

Github contributions (5)

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ssaru/TIL

Nov 2018 - May 2019

Contributions:152 commits, 120 pushes, 1 branch in 6 months
Contributions:54 PRs, 47 pushes, 23 branches in 1 year 11 months
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Donghyun Hwang - Machine Learning Engineer at Viva Republica (Toss)