Lyle Lee
Student at Shanghai Jiao Tong University
China
Summary
🤩
RockstarLyle Lee is a curious and technically seasoned software engineer with a decade of hands-on experience, currently studying at Shanghai Jiao Tong University. He blends backend development, documentation infrastructure, and web security awareness—evidenced by his Learn-Web-Hacking project where he set up Sphinx docs, internationalized configs, and added an audit process guide. Lyle also contributes to fuzzing tooling, improving Python 2/3 compatibility and CLI usability for the notable domato DOM fuzzer, showing attention to tooling robustness and cross-version support. Based in China and self-described as a "Seeker After Knowledge," he favors practical, auditable solutions and developer-friendly interfaces. He brings a mix of security-minded engineering and infrastructure craftsmanship that helps harden tools and documentation for wider adoption.
10 years of coding experience
Github Skills (7)
fuzzing10
php10
dom10
python10
documentation10
security10
command-line-interface8
Programming languages (9)
Github contributions (5)
LyleMi/Learn-Web-Hacking
May 2017 - Dec 2022
Study Notes For Web Hacking / Web安全学习笔记
Role in this project:
Backend Developer
Backend DeveloperContributions:449 commits, 12 PRs, 399 pushes in 5 years 7 months
Contributions summary:Lyle appears to be focused on setting up and maintaining the project infrastructure, initiating a Sphinx documentation system and configuring it using RST. They appear to be working in PHP and may be involved in security aspects of the project by adding an audit process guide to the project's documentation. They modified the configuration for zh_CN to en.
notessecuritystudy-notespenetration-testingpentesting
googleprojectzero/domato
Dec 2017 - Dec 2017
DOM fuzzer
Role in this project:Software Engineer (Python/Fuzzing)
Software Engineer (Python/Fuzzing)Contributions:5 commits, 1 PR, 1 comment in 1 day
Contributions summary:Lyle primarily contributed to the project by enhancing the code's compatibility with Python 2 and Python 3 across multiple files. They also made modifications to improve the command-line interface's user-friendliness by providing clear usage instructions. The changes included updates to both `grammar.py` and `generator.py` files, indicating a focus on the core functionality of the fuzzer and its input generation.
securitydomfuzzerfuzzing
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