Fred Liang
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolFred Liang is a seasoned software engineer with 12 years of experience building high-performance web services and RESTful APIs from the San Francisco Bay Area. He specializes in Python and Ruby on Rails and has deep operational familiarity with MongoDB and Redis for scalable data persistence. Fred has a practical eye for UX and reliability—evidenced by contributions to the popular Blazer BI project where he implemented draft-saving, fixed error-line reporting, and improved caching behavior to protect users’ unsaved SQL work. Comfortable across the full stack, he focuses on pragmatic refactors and bug fixes that reduce friction for end users and improve long-term maintainability. Trained in software development at Hebei Finance University, he pairs a production-first mindset with steady open-source engagement.
12 years of coding experience
College, Software Development, College, Software Development at Hebei Finance University
English, Chinese
Github Skills (9)
javascript10
ruby-on-rails9
sql9
rails9
html8
erb8
vue7
vue-jsx7
business-intelligence6
Programming languages (3)
Github contributions (5)
ankane/blazer
Jun 2016 - Jun 2018
Business intelligence made simple
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:9 commits, 5 PRs, 2 comments in 2 years
Contributions summary:Fred focused on enhancing the user experience and data persistence within the Blazer application. They implemented a draft saving mechanism using sessionStorage, ensuring unsaved SQL queries are retained upon browser refresh. Further contributions involved fixing a bug related to error line number display and refactoring code for improved clarity. The user also addressed caching behavior on the edit page and ensured proper setting of the SQL statement when loading drafts.
chartsdata-analyticssqlbusiness-intelligencedashboard
ilstar/search_bear_note
Jan 2017 - Nov 2017
Contributions:4 releases, 22 commits, 11 pushes in 10 months
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