William Huang
Senior Software Engineer at Snowflake
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolWilliam Huang is a Senior Software Engineer in the San Francisco Bay Area with nine years of experience building developer-facing platforms and production web apps. He has driven impactful work at Snowflake and Streamlit—implementing features used by tens of thousands of developers, migrating end-to-end tests from Cypress to Playwright to drastically improve test quality, and packaging frontend tooling for internal consumption. His open-source contributions to Streamlit include enhancing widgets, chart interactivity, and query-parameter state management that reach thousands of monthly users. Comfortable across full-stack TypeScript/JavaScript and Python ecosystems, he pairs pragmatic engineering with a curiosity for performance and UX improvements. Beyond shipping features, he’s improved developer workflows and testing infrastructure to make teams more productive at scale.
9 years of coding experience
7 years of employment as a software developer
BS Computer Science, BS Computer Science at UC Santa BarbaraLos Gatos High School
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
streamlit10
front-end-development10
python10
react10
testing10
data-visualization9
data-visualisation9
data-visualizations9
data-analysis8
data-science7
Programming languages (3)
Github contributions (5)
streamlit/streamlit
Jul 2021 - Dec 2022
Streamlit — A faster way to build and share data apps.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:929 reviews, 280 commits, 461 PRs in 1 year 5 months
Contributions summary:William made several contributions related to the implementation and testing of new features for the Streamlit application. Their work involved enhancing the `multiselect` widget to support new data types and incorporate a limit to the number of selections. They also addressed bugs related to error handling, implemented UI improvements, and incorporated styling for elements. Furthermore, the user was involved in upgrading the application, as well as improving the performance of the tooltips.
data-analysispythondata-sciencedeep-learningfastest
willhuang1997/streamlit
Sep 2021 - Feb 2023
Streamlit — The fastest way to build data apps in Python
Contributions:2 reviews, 4 PRs, 253 pushes in 1 year 4 months
data-analysispythondata-sciencefastestmachine-learning
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