Jian-syuan Wong is a software engineer with nine years of experience building polished front-end experiences, currently contributing to Android’s design tooling at Google (ConstraintLayout, MotionLayout, Motion Editor). He has a strong track record in UI/UX engineering and visualization, proven by contributions to the widely used androidx/constraintlayout project where he refactored timeline/area graphs and added Compose tests. Jian-syuan also improved front-end interpretability tools in Google PAIR’s LIT—adding interactive color legends and gamma controls to make ML model visualizations more usable. His background spans product-grade web platform work at PayPal, research roles applying ML and NLP techniques, and teaching data visualization and databases at the university level. He holds a master’s in computer science with a 4.0 GPA and a PhD in Information Technology, combining rigorous academic training with practical shipping experience. Colleagues would note his blend of visualization craftsmanship and a research-informed approach to building developer-facing tools.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Information Technology, GPA: 3.68, Doctor of Philosophy (Ph.D.), Information Technology, GPA: 3.68 at Penn State University
Master’s Degree, Computer Science, GPA: 4.0, Master’s Degree, Computer Science, GPA: 4.0 at Georgia State University
ConstraintLayout is an Android layout component which allows you to position and size widgets in a flexible way
Role in this project:
Front-end Developer
Contributions:1 release, 84 reviews, 160 commits in 1 year 2 months
Contributions summary:Jian-syuan contributed to the `androidx/constraintlayout` repository by implementing and modifying UI components related to the Timeline graph, specifically addressing size and visual presentation. They refactored the code to create an area graph from the timeline graph using techniques to draw the animation graph. Additionally, the user added tests for height and anchor features in Compose code.
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Role in this project:
Front-end Developer
Contributions:8 commits in 3 months
Contributions summary:Jian-syuan primarily focused on enhancing the user interface and interactive elements of the LIT (Learning Interpretability Tool). Their work included integrating a color legend component and incorporating it into existing modules such as the embeddings projector, sequence salience, and salience map module. They also added a slider for adjusting gamma values within the salience map module to allow users to adjust the color mapping. Further, they improved the color legend element to display a range of values upon hovering over the color blocks within the sequential values.
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