David Hin

Software Engineer at LIFELENZ

Adelaide, South Australia
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Summary

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Senior
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Top School
David Hin is a software engineer in Adelaide with nine years of experience blending backend development, web and desktop applications, and applied data science. He has a strong track record in automated security tooling—publishing state-of-the-art results using graph neural networks for C/C++ vulnerability detection and leading deep-learning pipelines that cut training time while improving accuracy for Java vulnerability assessment. Proficient in Python, Java, Node.js and React, he moves comfortably between research and production, having built microservice-based web apps, ML pipelines, and explainable models. His work is notable for combining usability and explainability in security tools and for producing large curated datasets and reproducible research. Currently contributing engineering expertise at LIFELENZ, he brings an unusual mix of academic rigor and product-focused delivery.
code9 years of coding experience
job2 years of employment as a software developer
bookBachelor of Engineering (Honours) Software Engineering, Bachelor of Engineering (Honours) Software Engineering at University of Adelaide
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Stackoverflow

Stats
67reputation
5kreached
1answer
7questions
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Github Skills (74)

cpp10
deezer10
pre-trained-model9
vulnerability-detection9
deep-learning9
bass9
source-separation9
audio-processing9
mobile-application8
python8
webview8
super-resolution8
chaquopy7
web-frontend7
high-performance7

Programming languages (13)

JavaC++CRustScalaAutoItJupyter NotebookOCaml

Github contributions (5)

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davidhin/davidhin.github.io

May 2017 - Oct 2020

Contributions:108 pushes in 3 years 6 months
cleantwo-columnsjekylljekyll-themecolumns
davidhin/linevd

Jul 2021 - Mar 2022

Statement-level deep learning model for automated software vulnerability detection in C/C++ (Accepted in MSR 2022)
Contributions:537 commits, 2 pushes, 3 comments in 8 months
cppdeep-learningvulnerability-detection
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