Rui Sun is a Software Development Engineer II at Amazon with 11 years of engineering experience, blending systems and software development expertise across large-scale production environments. He holds advanced degrees from Carnegie Mellon and UIUC, and started coding at age 10, which underpins a long-standing practical fluency in building reliable systems. At Amazon he progressed from System Development Engineer to SDE II, demonstrating rapid growth in ownership and delivery for complex services. An active open-source contributor, he improved accessibility for Chinese users of the popular Logseq knowledge-management app by leading its Chinese localization and i18n fixes. Known for creativity, flexibility, and clear verbal communication, he brings a user-focused mindset to internationalization and cross-team collaboration. Based in Vancouver, he combines academic rigor with hands-on delivery to bridge infrastructure, product, and global user needs.
11 years of coding experience
3 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Illinois Urbana-Champaign
Master of Science - MS Advanced Infrastructure Systems, Master of Science - MS Advanced Infrastructure Systems at Carnegie Mellon University
Bachelor of Engineering - BE Engineering, Bachelor of Engineering - BE Engineering at Zhejiang University
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: https://logseq.io/p/NX4mc_ggEV
Role in this project:
Localization / Internationalization Specialist
Contributions:14 reviews, 1 commit, 8 PRs in 1 day
Contributions summary:Rui primarily contributed to the internationalization and localization of the Logseq application. Their commits focused on adding and enhancing Chinese (zh-CN) translations for various user interface elements, including settings, whiteboards, and bug reporting features. They also corrected existing translations and ensured that the application used i18n translation for settings and other components. This work significantly improved the accessibility of Logseq for Chinese-speaking users.
Contributions:7 PRs, 4 pushes, 3 branches in 4 years 6 months
resolvereml
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