Qing Da is a Senior Staff Algorithm Engineer at Alibaba with nine years of industry experience applying machine learning and large-scale algorithms to production systems. Trained at Nanjing University through graduate work in machine learning, he progressed through multiple senior engineering roles at Alibaba since 2015 and now drives algorithmic strategy and implementation from Hangzhou. He pairs deep research-oriented skills with pragmatic full-stack development—evidenced by open-source work on a Nuxt.js SSR demo where he implemented both front-end UI and back-end API integrations. Qing is comfortable bridging stateful engineering (Vuex, server-side rendering) with algorithmic feature delivery, making him effective at shipping end-to-end solutions. An intriguing detail: he began but did not complete a PhD in machine learning, suggesting a strong research mindset channeled directly into industry impact.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Nanjing University
Contributions:40 commits, 3 PRs, 35 pushes in 1 year 5 months
Contributions summary:Qing implemented features for a Nuxt.js-based SSR demo, mirroring a popular platform. They worked on both front-end components, including the layout, navigation, and user interface elements, as well as back-end aspects by integrating with APIs. The user also made changes to the service layer for handling API requests and incorporated Vuex for state management. Furthermore, they configured the project with Nuxt.js modules like axios and proxy settings.
Contributions:12 commits, 10 pushes, 1 branch in 10 months
javascriptnodejstypescriptloader
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Qing Da - Senior Staff Algorithm Engineer at Alibaba Group