Fang Li
Software Engineer at Meta
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolFang Li is a seasoned software engineer with 14 years of experience building data visualization and business intelligence tools, currently helping engineers and analysts discover, query, and visualize data at Meta. He blends full-stack skills—Python, JavaScript/React, GraphQL, and backend systems like MySQL and Presto—with a hardware/EDA background in physical design and automation from roles at Cadence, Apple, and Oracle. Fang has led product integrations for major chipmakers, automated complex CAD flows, and contributed backend refactors to notable open-source projects by modernizing logging and improving maintainability. Based in the San Francisco Bay Area, he pairs deep technical execution with product-minded thinking and an entrepreneur’s curiosity from studies at Stanford Ignite and an MSEE from USC.
14 years of coding experience
6 years of employment as a software developer
Stanford Ignite, Entrepreneurship/Entrepreneurial Studies, Stanford Ignite, Entrepreneurship/Entrepreneurial Studies at Stanford University Graduate School of BusinessMaster of Science; MSEE, Electrical Engineering, Master of Science; MSEE, Electrical Engineering at University of Southern CaliforniaMaster of Business Administration - MBA [Drop out], Master of Business Administration - MBA [Drop out] at University of California, Berkeley, Haas School of Business
English, Chinese
Github Skills (9)
javas10
logging10
slf4j10
java10
concurrency8
configuration-file7
configurations7
configuration-management7
testing6
Programming languages (1)
Github contributions (5)
facebookarchive/jcommon
May 2012 - Feb 2015
concurrency, collections, stats/analytics, config, testing, etc
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 3 pushes in 2 years 8 months
Contributions summary:Fang primarily focused on refactoring and improving the existing codebase. Their work involved removing legacy dependencies like log4j, replacing them with slf4j. They also added features such as the ability to remove counters and attributes for better data cleanup. Additionally, the user adapted the existing logging framework to work with slf4j, thereby enhancing the project's flexibility and maintainability.
analyticsconcurrencyrusttestingconfig
l3fang/swift
Jan 2015 - Mar 2015
Contributions:2 pushes in 2 months
java-libraryserializationswiftserializablethrift
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