Mezbaul Haque is a software engineer with 11 years of experience, currently building backend systems at Goldman Sachs after leading Python-driven microservice work at Bongo and end-to-end platform projects at Workspace InfoTech. He specializes in backend engineering with strong Python and Go skills, a focus on scalable RESTful architectures, performance optimisation, and recommender systems. Mezbaul holds an MSc in Advanced Computer Science (Distinction) from the University of Essex and has hands-on experience creating ETL pipelines that indexed millions of articles. An active open-source contributor, he implemented and refactored extractors for the widely used yt-dlp project, adding support for multiple platforms and password-protected links. Based in Birmingham, he blends production-grade engineering with a knack for pragmatic tooling and automation that accelerates delivery.
11 years of coding experience
6 years of employment as a software developer
Master of Science, Advanced Computer Science, Distinction, Master of Science, Advanced Computer Science, Distinction at University of Essex
Bachelor of Science, Computer Science & Engineering, Bachelor of Science, Computer Science & Engineering at American International University-Bangladesh
A feature-rich command-line audio/video downloader
Role in this project:
Backend Developer
Contributions:14 reviews, 7 commits, 13 PRs in 8 months
Contributions summary:Mezbaul primarily contributed to the `yt-dlp/yt-dlp` repository by implementing new extractors for various video platforms, including Pornhub, Filmmodu, Jable, BanBye, and LastFM. These contributions involved writing Python code to parse HTML/JSON responses, extract video metadata, and handle different video formats. The user also refactored the Pornhub extractor to improve functionality and added support for password-protected links in the Gofile extractor.
Contributions:4 releases, 178 commits, 118 pushes in 2 years 7 months
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