Quake Wang is a blockchain developer based in Shanghai with 18 years of engineering and technical leadership experience spanning semiconductor, web, and startup domains. Currently at Nervos, he brings deep backend and performance expertise—evidenced by open-source contributions to the Rhai embedded scripting engine where he focused on optimization and code quality. He has full-stack Rails experience from contributing to the popular Ruby China forum project, improving search with Elasticsearch and hardening tests and markdown workflows. Formerly a co-founder and technical manager, Quake balances product-minded engineering with hands-on refactoring and performance tuning. His background in electronic and information engineering from Tongji University underpins a systems-level approach to designing robust blockchain infrastructure. Less obvious: he moves comfortably between low-level performance work and higher-level community-facing features, a mix that helps bridge protocol engineering and developer experience.
17 years of coding experience
17 years of employment as a software developer
BS, Electronic and Information Engineering, BS, Electronic and Information Engineering at Tongji University
Contributions:1 review, 12 commits, 5 PRs in 1 month
Contributions summary:Quake primarily focused on optimizing the Rhai scripting engine's performance and codebase quality. Their work involved fixing bugs related to optimization, refactoring code, and implementing performance improvements. The user also made changes to address clippy warnings, improving code style and maintainability, and refactored code to increase efficiency. These contributions likely improved the engine's overall speed, reliability, and development standards.
:circus_tent: An open source forum/community system based on Rails, developed based on Ruby China.
Role in this project:
Full-stack Developer
Contributions:1 commit, 1 PR, 1 comment in 1 day
Contributions summary:Quake primarily contributed to the Rails-based forum application by implementing features and refactoring code. They added functionality for related topics using Elasticsearch, enhancing the forum's search and discovery capabilities. The user also improved code formatting and added tests, including helper specs, with a focus on markdown conversion and front-end improvements. Refactoring and merging upstream changes were also part of the user's workflow.
homelandruby-chinaruby-on-railsrailsforum
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