Kobe Li is a seasoned front-end developer with 14 years of experience building responsive, user-focused web applications from Markham, Ontario. While primarily a front-end engineer, he also contributes to back-end projects—most notably implementing a Puppeteer-backed ranking system for the widely used chinese-poetry database to scrape and cache search-engine relevance scores. He blends practical UI expertise with data-driven tooling, optimizing performance and reliability while managing rate limits and dependency upkeep. Known for pragmatic refactors and cross-stack problem-solving, Kobe brings a consistent record of shipping maintainable code and improving data pipelines that support rich content experiences.
The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人,21050首词。
Role in this project:
Back-end Developer
Contributions:8 commits, 6 PRs, 10 comments in 2 months
Contributions summary:Kobe primarily contributed to a ranking system for Chinese poetry, leveraging a headless browser (Puppeteer) to scrape search engine results (Baidu, Google, etc.) for relevance scores. They implemented logic for caching search results and managing delays to avoid rate limiting. The commits show work related to data fetching, processing, and storage, likely for analyzing the popularity or ranking of different poems. The user also refactored some code and updated dependencies.
Contributions:44 commits, 17 pushes, 1 branch in 4 years 7 months
galleryui-componentsmagix-gallerymagixui
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