Shengqiang Zhang
PHD Student at LMU Munich – Ludwig-Maximilians-Universität München
Guangzhou City, Guangdong Province, Germany
Summary
🤩
Rockstar🎓
Top SchoolShengqiang Zhang is a PhD student in computer science at LMU Munich with nine years of hands-on experience spanning research internships at Microsoft Research Asia and Baidu. He blends academic rigor with practical engineering, demonstrated by Python/Selenium web crawlers he developed for popular Chinese platforms (Taobao, Tmall, WeChat, Douban) that emphasize robust login and data-extraction workflows. Comfortable across the stack, Shengqiang has repeatedly moved projects from prototype to reliable tooling, showing particular strength in automation and front-end scraping techniques. His trajectory from top Chinese universities to a European PhD program reflects both deep technical foundations and an ability to operate in international research-industrial settings.
9 years of coding experience
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at 北京大学Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Ludwig-Maximilians-Universität MünchenBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at 吉林大学
Github Skills (8)
crawler10
selenium-ide10
selenium10
python10
webscraping10
web-automation10
pyqt9
wechat9
Programming languages (4)
Github contributions (5)
shengqiangzhang/examples-of-web-crawlers
Mar 2019 - Apr 2022
一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、微信读书、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:179 commits, 8 PRs, 170 pushes in 3 years 2 months
Contributions summary:Shengqiang's commits primarily focused on developing web crawlers using Python and Selenium for various e-commerce and online platforms such as Taobao, Tmall, and WeChat. The contributions included improvements to login mechanisms, data extraction from Tmall, and the implementation of features for crawling purchased items. The user demonstrated proficiency in front-end web scraping techniques along with back-end automation and data retrieval. The project also involved the development of various features relating to the WeRead application.
multithreadingtaobaopythonfundscrapy
shengqiangzhang/shengqiangzhang.github.io
Apr 2022 - May 2022
BY Blog ->
Contributions:43 commits, 135 pushes, 3 comments in 8 days
jekyll
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.