Dong Nguyen is a versatile software engineer and entrepreneur with 11 years of experience building full-stack web applications, AI-driven computer vision solutions, and DevOps/release processes. He has progressed from hands-on web and R&D roles to leadership positions including CTO and Deputy Managing Director, and now runs his own consultancy focused on code, markets, and product delivery. Technically fluent in Node.js, Python, TensorFlow/PyTorch, and edge deployments (Raspberry Pi, Movidius NCS), he bridges machine learning research with pragmatic production engineering. An active open-source contributor, he implemented an article-extraction parser demonstrating practical use of Readability, cheerio and sanitization tools. Based in Vietnam, Dong combines technical depth with business acumen and a personal interest in finance, crypto, and piano that informs a measured, product-oriented approach.
To extract main article from given URL with Node.js
Role in this project:
Back-end Developer
Contributions:97 releases, 561 commits, 420 PRs in 7 years 2 months
Contributions summary:Dong's only commit implements the initial version of an article parser. This involves the creation of the `src/article-parser.js` file, which includes functionalities such as article extraction from a given URL and metadata parsing from the retrieved HTML. The code demonstrates use of Node.js with libraries like `bellajs`, `node-fetch`, `readability`, `sanitize-html` and `cheerio` for the core functionalities.
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