Legal name: Yulin Peng
Computer Science student at the University of Minnesota Twin Cities, focusing on Human-Computer Interaction and Artificial Intelligence. I am interested in building systems where people and technology work together more naturally.
I'm a Computer Science student at the University of Minnesota Twin Cities (CSE), passionate about the intersection of AI and human-computer interaction. I enjoy turning complex ideas into tools that feel natural to use — combining technical depth with creativity and a strong team mindset.
Exploring how intelligent systems can enhance everyday workflows — from data pipelines to user-facing AI features.
Fascinated by the way people interact with software. I design and build interfaces that feel intuitive and empowering.
Experienced in Java and systems-level thinking, with a focus on building reliable, extensible tools that solve real problems.
I thrive in team environments, bringing both creative vision and clear communication to every project I'm part of.
Participated in hands-on development related to intelligent logistics equipment and AGV robotics. Gained in-depth understanding of industrial IoT systems including ERP, WMS, APS, and MES. Applied object-oriented programming (OOP) principles in real engineering contexts, and developed a solid foundation in intelligent manufacturing and smart logistics workflows.
An IntelliJ IDEA plugin that automatically captures visual snapshots of your code as you write. Using a line-change trigger with debouncing, TimeRail records a full screenshot of the editor and complete file state each time your caret moves to a new line. A translucent overlay displays a horizontally scrollable timeline of all snapshots — click any card to instantly restore the file to that exact moment.
A Python simulation of a 6-cylinder internal combustion engine, modeling the full P-V cycle across 720° of crankshaft rotation. Sweeps a grid of environmental pressure and combustion temperature inputs and renders engine power output as an interactive 3D surface. A second enhanced model adds heat loss, temperature-dependent specific heat ratio, and combustion phasing efficiency.
View on GitHub →Currently building new projects at the intersection of AI and human-computer interaction. Stay tuned.
A visual code history plugin that captures snapshots of your editor as you write and displays them as an interactive branching tree — restore any past state with one click, and keep coding from there on its own timeline.
Captures a full screenshot and file state every time your caret moves to a new line. Smart 200ms debounce prevents noise.
Restoring a past snapshot opens a new branch instead of overwriting the timeline — every version of your code is always preserved.
Click any snapshot in the tree to instantly rewrite the file back to that exact saved state. The panel closes automatically.
Pan and zoom the full history tree with +/- buttons or Ctrl+scroll. All previews and connecting lines scale together.