Hongfei Ding
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHongfei Ding is a full-stack engineer with 11 years of experience specializing in front-end development and three years focused on web search data mining, with a career spanning Google and Ask.com. Based in Mountain View, he combines deep UI performance optimization—evidenced by contributions to the high-profile AMP project—with back-end robustness work on search-index, where he improved Unicode prefix matching and hardened test coverage. At Ask.com he led web mining and content extraction efforts, and at Google delivered scalable front-end features and ad-serving optimizations. Trained in signal processing (Imperial College) and telecommunications (Zhejiang University), he brings a research-minded approach to production engineering, including published work in voice activity detection.
11 years of coding experience
15 years of employment as a software developer
MSc, Communication & Signal Processing, MSc, Communication & Signal Processing at Imperial College LondonBachelor of Eng., Telecommunication Engineering, Bachelor of Eng., Telecommunication Engineering at Zhejiang University
Github Skills (24)
javascript10
ampl10
testing10
css10
user-interface10
google-amp10
searching10
front-end-development10
performance-optimization10
accelerated-mobile-pages10
html10
amp-html10
test-automation10
unit-testing9
refactor9
Programming languages (6)
Github contributions (5)
ampproject/amphtml
Jun 2016 - Dec 2020
The AMP web component framework.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:8 releases, 120 reviews, 576 commits in 4 years 6 months
Contributions summary:Hongfei primarily focused on front-end development within the AMP project, making various contributions to enhance the user interface and improve the functionality of the AMP framework. Their work included caching and optimizing the getRect() method for performance improvements, and adding features like the data-loading-strategy attribute for controlling ad loading. They also contributed to improvements in the ad serving infrastructure and the general UX of web pages. The user appears to have a good understanding of performance optimization techniques in a web context.
web-componentscomponent-frameworkframeworkwebcomponentsweb-component
fergiemcdowall/search-index
Aug 2015 - Aug 2015
A persistent, network resilient, full text search library for the browser and Node.js
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:6 commits, 4 PRs, 15 comments in 5 days
Contributions summary:Hongfei focused on enhancing the `search-index` library's core functionality. They implemented Unicode prefix matching, removed match string length validation, and removed a duplicate test case. Additionally, they added tests for unsearchable doc IDs, which helped fix an exception, and used `_.pick` to improve the logic of `createCompositeField`. These changes likely improved the library's robustness and maintainability.
nlpbrowserfull-text-searchnode-jsresilient
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