StuyPulse/Aunt-Mary
Feb 2025 – Feb 2025
1 Month active
Languages Used
Java
Technical Skills
Code OrganizationCode RefactoringCommand-Based FrameworkConfiguration ManagementConstants ManagementEmbedded Systems
Brian Zheng
PROFILE
Brian Zheng
Worked on the StuyPulse/Aunt-Mary repository to enhance robot scoring workflows and subsystem reliability using Java and a command-based framework. Refactored elevator-arm scoring logic into modular routines, enabling more predictable scoring commands and streamlined integration within RobotContainer. Introduced LED indicators to provide immediate feedback for automated actions, improving user interaction with the robot. Consolidated configuration constants into dedicated interfaces, simplifying arm and elevator tuning for greater positional accuracy and maintainability. Focused on code organization, configuration management, and subsystem integration, these changes supported faster feature validation and reduced maintenance overhead, contributing to a more robust and scalable embedded robotics codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
755
Activity Months1
Your Network
27 peopleSame Organization
@nycstudents.net9
Steven PMember
angeliqua10Member
chloej80Member
Isaiah ParkMember
Jake DengMember
Kenneth JamesMember
Mansour R SalehMember
ChocolatesMember
vanessa0135Member
Work History
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025: Focused on scalable scoring workflows and maintainable constants in StuyPulse/Aunt-Mary. Key outcomes include modular scoring routines, improved robot feedback via LEDs, and consolidated constants for arm/elevator tuning, enabling more reliable positioning and faster iteration.
4 Commits • 2 Features
Feb 1, 2025February 2025: Focused on scalable scoring workflows and maintainable constants in StuyPulse/Aunt-Mary. Key outcomes include modular scoring routines, improved robot feedback via LEDs, and consolidated constants for arm/elevator tuning, enabling more reliable positioning and faster iteration.
February 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability90.0%
Architecture85.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
Code OrganizationCode RefactoringCommand-Based FrameworkConfiguration ManagementConstants ManagementEmbedded SystemsRobot ControlRobot ProgrammingRoboticsSubsystem Integration
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