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Ian Shi

PROFILE

Ian Shi

Ian Shi contributed to the StuyPulse/Aunt-Mary robotics repository by developing and refining autonomous navigation, control systems, and field interaction routines in Java. Over three months, he delivered 62 features and resolved 27 bugs, focusing on robust swerve drive control, vision-based alignment, and dynamic pathfinding for complex reef and coral scenarios. His work included state-space control for arm and elevator subsystems, dynamic obstacle generation, and safety guard logic to prevent collisions. Through disciplined code refactoring, configuration management, and telemetry improvements, Ian enhanced system reliability and maintainability, demonstrating depth in embedded systems, command-based programming, and real-time robotics software engineering.

Overall Statistics

Feature vs Bugs

70%Features

Repository Contributions

146Total
Bugs
27
Commits
146
Features
62
Lines of code
12,667
Activity Months3

Work History

April 2025

36 Commits • 14 Features

Apr 1, 2025

April 2025 highlights for StuyPulse/Aunt-Mary: delivered core reliability improvements and advanced reef autonomy. Key items include shooter score button reliability fix, swerve velocity tuning, reef interaction/navigation enhancements, automated coral handling/autonomy improvements, and dynamic reef clearance obstacle generation. These changes reduce failure modes, improve autonomous reef tasks, and demonstrate robust control, planning, and code maintainability.

March 2025

40 Commits • 14 Features

Mar 1, 2025

March 2025 — StuyPulse/Aunt-Mary: Delivered focused improvements across vision, arm/elevator automation, autonomous behaviors, and code health. Vision alignment improvements reduced field errors by correcting y-offset conventions between Camera.java and LimelightVision.java. Arm/elevator controls were hardened with processor-level handling post algae acquisition, refined motion profiles, and safety checks to prevent collisions with opposite alliance reefs, increasing autonomous reliability and operator safety. Pathfinding cleanup removed unnecessary coral alignment logic, added a warmup pathfinding command to reduce start-up latency, and addressed known alignment glitches for coral stations, improving repeatability. General cleanup and refactoring improved maintainability, reduced logging noise, and simplified drive nudges, contributing to faster iteration and lower risk of regressions. Additional targeted work included onboard arm control loop migration, swerve feedforward for arm, and clearer motion profiling for debugging, enabling more predictable performance. Technologies/skills demonstrated: Java robotics development, Limelight integration and orientation updates, onboard motor control, motion profiling, swerve drive tuning, IMU management, and disciplined code hygiene.

February 2025

70 Commits • 34 Features

Feb 1, 2025

February 2025 focused on delivering measurable business value through safer, faster configuration, stronger autonomous capabilities, and clearer observability. The team consolidated core automation patterns, improved hardware configuration ergonomics, and expanded end-to-end readiness for coral-algae-reef scoring scenarios, while tightening telemetry and guardrails to reduce risk during live operations.

Activity

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Quality Metrics

Correctness86.6%
Maintainability87.8%
Architecture86.4%
Performance83.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Git IgnoreJava

Technical Skills

Autonomous NavigationAutonomous ProgrammingAutonomous RoutinesAutonomous SystemsCode CleanupCode RefactoringCommand GroupsCommand PatternCommand-Based FrameworkCommand-Based ProgrammingCommand-based programmingComputer VisionConditional Command LogicConditional CommandsConfiguration

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

StuyPulse/Aunt-Mary

Feb 2025 Apr 2025
3 Months active

Languages Used

Git IgnoreJava

Technical Skills

Autonomous NavigationAutonomous ProgrammingAutonomous RoutinesAutonomous SystemsCode CleanupCode Refactoring

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