Krist Wongsuphasawat
Staff Software Engineer, Data Visualization
San Francisco, California, United States
Summary
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Rockstar🎓
Top School
Top expert inData Engineering and Analytics Technologies
Krist Wongsuphasawat is a Staff Software Engineer specializing in data visualization and visual analytics with 13 years of experience building dashboards, visualization libraries, and internal IDEs for metric management. Based in San Francisco, he has led teams and product areas at Airbnb—owning the Minerva Producer Experience for 200+ internal users—and previously shaped visual analytics and dashboards at Twitter, including interactive.twitter.com. A versatile front-end engineer with a scientist’s curiosity and a designer’s eye, he contributes to prominent open-source projects like visx and labella.js, improving performance and developer ergonomics. He combines hands-on coding, mentorship, and roadmap leadership, with a track record of promoting engineers and delivering tools that turn complex data into actionable stories.
13 years of coding experience
15 years of employment as a software developer
The University of Maryland, College ParkM.S., Computer Science, M.S., Computer Science at University of MarylandB.Eng., Computer Engineering, B.Eng., Computer Engineering at Chulalongkorn UniversityPrimary and Secondary School, Primary and Secondary School at Assumption College
English, Thai
Stackoverflow
26reputation
673reached
3answers
0questions
Github Skills (24)
data-visualizations10
javascript10
typescript10
data-visualisation10
ui-design10
uid10
front-end-development10
typescript-types10
html10
data-visualization10
typescripts10
d3js10
react10
react-components9
react-component9
Programming languages (8)
Github contributions (5)
twitter/labella.js
Jun 2015 - Jun 2019
Placing labels on a timeline without overlap.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:185 commits, 9 PRs, 130 pushes in 4 years
Contributions summary:Krist primarily focused on updating and modifying the example code within the `labella.js` repository, specifically to showcase the library's functionality and features. Their contributions included refactoring example layouts, enhancing the demo page, and adding examples that demonstrate different label placement directions. The user also incorporated a tweet button and GitHub star into the demo's interface, promoting the library's visibility.
overlaptimeline
apache/superset
Aug 2018 - Dec 2020
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:Front-end Developer
Front-end DeveloperContributions:16 reviews, 843 commits, 382 PRs in 2 years 4 months
Contributions summary:Krist's commits primarily focused on refactoring and enhancing the visualization components within the Apache Superset data visualization platform. Their work involved extracting and refactoring code related to specific chart types such as the World Map and Rose chart, improving code structure and organization by extracting form data and slice logic. Additionally, they implemented improvements to text label rendering and functionality.
pythonapache-supersetflaskbusiness-analyticsbusiness-intelligence
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