Mingli Yang is a software engineer with 15 years of experience building backend systems and data-driven products, currently at DoorDash in Seattle after a tenure at AWS. Trained in Statistics and Computer Science at UIUC and holding an MS in Data Science from Vanderbilt, he blends analytical rigor with practical engineering across cloud, server, and web stacks. He has hands-on experience shipping production services and contributed to the widely used uWSGI project—improving Java WSGI integration and virtual environment support—alongside building scalable crawlers and news-clustering pipelines that served millions. Comfortable in both research and product contexts, he has delivered edtech analytics, large-scale data pipelines, and cloud-native services. Colleagues describe him as an independent researcher-engineer who surfaces subtle protocol and plugin-level fixes that improve system reliability.
15 years of coding experience
3 years of employment as a software developer
University of Illinois Urbana-Champaign
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Vanderbilt University
Contributions summary:Mingli contributed to the `uWSGI` application server, specifically focusing on the `jwsgi` plugin. Their work involved modifying the `jwsgi_plugin.c` file, suggesting improvements or bug fixes within the Java Web Server Gateway Interface (JWSGI) integration. Furthermore, the user addressed potential issues within the core of the server and the http plugin. Additionally, commits included supporting virtual environments.
Contributions:20 commits, 1 PR, 18 pushes in 1 day
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