Peifeng Jing
Software Engineer at Meta
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolPeifeng Jing is a software engineer with five years of professional experience, now at Meta after a five-year senior engineering tenure at Unity Technologies. He combines a Ph.D. background in Electrical & Computer Engineering with hands-on full-stack development, notably contributing to Unity’s Robotics Hub by improving pick-and-place tutorials, URDF import workflows, and ROS integrations. Comfortable moving between research and product engineering, he has delivered production-grade systems in both gaming/robotics simulation and large-scale analytics environments from Quantcast. Based in Bellevue, WA, he brings a blend of academic rigor and practical implementation skills, often surfacing subtle tooling and test fixes that improve developer experience.
5 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical & Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical & Computer Engineering at University of WashingtonBachelor’s Degree Optical Engineering, Bachelor’s Degree Optical Engineering at Zhejiang University
Chinese, English
Github Skills (9)
user-manual10
csharp10
learn-ruby-on-rails10
basics10
ros10
dotnet-core10
unity3d10
testing9
autonomy7
Programming languages (4)
Github contributions (5)
Unity-Technologies/Unity-Robotics-Hub
Nov 2020 - Dec 2021
Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 release, 51 reviews, 54 commits in 1 year 1 month
Contributions summary:Peifeng contributed to the development of the Unity Robotics Hub, primarily focusing on the "pick and place" tutorial. They made changes to the `Demo.cs` script, including fixing issues related to URDF importer, updating configurations, and integrating tests. Their contributions also involved modifying test scripts and integrating ROS related functionality for the "pick and place" tutorial.
robotics-simulationignitionrobotics-developmentsdfpybullet
Unity-Technologies/Indoor-Pet-Detection
Feb 2022 - Mar 2022
A demo project for indoor pet detection using Unity generated synthetic data.
Contributions:28 commits, 1 PR, 1 push in 27 days
billing-5160computer-visiondeep-learningdetectrondetectron-models
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