Jianqi Pan
Software Engineer at Preferred Networks, Inc.
Greater Tokyo Area Japan
Summary
🤩
Rockstar🎓
Top SchoolJianqi Pan is a software engineer with eight years of experience, currently contributing to machine learning infrastructure at Preferred Networks in the Greater Tokyo Area. He blends backend ML engineering—evidenced by bug fixes and stability improvements to the widely used Hugging Face diffusers library—with front-end expertise in interactive data visualizations built with D3 and custom animation tooling. A pragmatic problem solver, Jianqi has improved diffusion pipelines (fixing device and sampling issues) while also enhancing UX features like recording, progress controls, and color options for visualization projects. Trained at Harbin Institute of Technology and pursuing a master’s at Tokyo Institute of Technology, he brings strong academic grounding to production-quality code. Describing himself as a passionate “Mediator” (INFP), he pairs technical rigor with thoughtful, user-centered design sensibilities.
8 years of coding experience
学士学位, Computer Software Engineering, 学士学位, Computer Software Engineering at 哈尔滨工业大学Master's degree, Master's degree at Tokyo Institute of Technology
Japanese, English, Chinese
Stackoverflow
838reputation
78kreached
29answers
7questions
Github Skills (30)
data-visualizations10
pytorch10
javascript10
python10
animation10
canvas10
diffusion-models10
machine-learning10
data-visualisation10
stable-diffusion10
ui-design10
diffusers10
diffusion-probabilistic-models10
uid10
diffusion-probabilistic10
Programming languages (16)
Github contributions (5)
Jannchie/Historical-ranking-data-visualization-based-on-d3.js
Jun 2018 - Oct 2020
[Deprecated!] This is a data visualization project that converts historical data rankings into dynamic bar charts.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:104 commits, 28 PRs, 73 pushes in 2 years 4 months
Contributions summary:Jianqi's commits focus on beautifying and enhancing the visualization effects of a deprecated data visualization project. The primary contribution involves modifying the HTML and CSS to create a dynamic bar chart, adding code differences to the `bargraph.html` file for rendering chart elements and adding styles to improve visual presentation. The user also refactors and optimizes code structure in `data.js` and updates the general layout, indicating active involvement in UI development.
vuebargraphd3data-visualizationvisualization
Jannchie/anichart.js
Sep 2020 - Nov 2022
Easily create data visualization animation videos
Role in this project:Front-end Developer
Front-end DeveloperContributions:11 releases, 1 review, 818 commits in 2 years 2 months
Contributions summary:Jianqi primarily worked on implementing and enhancing the user interface for the data visualization animation videos. Their contributions included adding base axis and recording functionality, and updating the clip bar information. They also incorporated color options and implemented a progress controller for the animation, enhancing both the visual display and user interaction.
animationyarncanvasvideosdata-visualization
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