Linghuiย Luo
CEO at Luo Consulting
Berlin, Germany
Summary
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Rockstar๐
Top SchoolLinghui Luo is a CEO and founder with nine years of experience building secure, production-grade AI and developer tooling, combining deep academic roots (PhD-level research in program analysis) with hands-on engineering at AWS and contributions to prominent open-source projects like the Soot Java optimization framework. She led applied-science efforts at AWS to integrate static analysis with ML (impacting CodeWhisperer, CodeGuru, and Amazon Q), published research and patents, and delivered a 10x performance improvement in analysis tooling. As founder of Luo Consulting she advises SMEs on vCISO, secure generative AI, and cloud and application security, and now runs ClioAssist, a Berlin-based clinical AI platform that automates end-to-end medical documentation. Her profile blends product leadership, security-first engineering, and research-driven innovationโsheโs equally comfortable designing DSLs for code analysis as building GDPR-compliant AI for clinicians. Notably, her open-source fixes in Soot reveal a deep understanding of JVM internals and optimization strategies that inform her work on reliable, interpretable AI systems.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Paderborn University
German, English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
javas10
j10
analyse10
static-analysis10
soot10
analyser10
optimisation10
bytecode10
jimp10
java10
optimization10
unit-testing9
Programming languages (7)
Github contributions (5)
soot-oss/soot
Mar 2019 - Oct 2022
Soot - A Java optimization framework
Role in this project:
Back-end Developer
Back-end DeveloperContributions:33 reviews, 110 commits, 66 PRs in 3 years 8 months
Contributions summary:Linghui primarily focused on fixing bugs and implementing improvements within the Soot Java optimization framework. Their contributions involved modifying the `StackFrame.java`, `LambdaMetaFactory.java`, `EntryPointsTest.java`, `EntryPoints.java`, `PackManagerTest.java`, and other source files, indicating a focus on core framework functionality. The commits demonstrate a deep understanding of the framework's internal workings, including stack frame management, class initialization, and optimization strategies, as well as testing.
java-optimization-frameworksootjava-optimizationoptimization-frameworkoptimization
MagpieBridge/CryptoLSPDemo
Jan 2019 - Apr 2021
Contributions:1 release, 20 PRs, 197 pushes in 2 years 2 months
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