StuyPulse/Aunt-Mary
Jan 2025 – Mar 2025
3 Months active
Languages Used
JavaGradle
Technical Skills
Control SystemsEmbedded SystemsRobot ControlRoboticsSubsystem ImplementationAngle Representation
Kalimul Kaif
PROFILE
Kalimul Kaif
Over three months, Kalimul Kaif developed and enhanced core robotic subsystems for the StuyPulse/Aunt-Mary repository, focusing on climb control, motion profiling, and operator workflows. He architected a robust climb subsystem with abstract interfaces, PID tuning, and CANcoder feedback, enabling safe and precise climbing. Kaif introduced dynamic motion profile constraints for the arm and elevator, optimizing movement for both autonomous and teleoperated modes. His work included command-based programming in Java, subsystem integration, and detailed logging for observability. By resolving critical bugs and refining driver controls, Kaif improved reliability, maintainability, and field readiness, demonstrating depth in embedded systems and robotics engineering.
Overall Statistics
Feature vs Bugs
76%Features
Repository Contributions
28Total
Bugs
4
Commits
28
Features
13
Lines of code
5,246
Activity Months3
Your Network
20 peopleSame Organization
@stuypulse.com2
Work History
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for StuyPulse/Aunt-Mary focusing on climb control enhancements and motion profiling. Delivered two major features to improve reliability, safety, and operator efficiency: (1) Climb Shimmy command and SHIMMY state with DPad-based sequences, enabling better climb alignment and state-aware control, and (2) Dynamic motion profile constraints by mode for arm and elevator, differentiating autonomous and teleop behavior to optimize movement profiles and reduce wear.
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for StuyPulse/Aunt-Mary focusing on climb control enhancements and motion profiling. Delivered two major features to improve reliability, safety, and operator efficiency: (1) Climb Shimmy command and SHIMMY state with DPad-based sequences, enabling better climb alignment and state-aware control, and (2) Dynamic motion profile constraints by mode for arm and elevator, differentiating autonomous and teleop behavior to optimize movement profiles and reduce wear.
March 2025
February 2025
24 Commits • 10 Features
Feb 1, 2025February 2025 summary for StuyPulse/Aunt-Mary focused on delivering core features that improve autonomous climbing, field setup, and operator experience, while tightening code quality and reliability. Key outcomes include substantial climb system enhancements, consolidated sensor/drive alignment logic, improved driver/robot container workflows, and instrumentation that speeds debugging and field readiness. Several critical bugs were resolved to stabilize startup behavior and in-run operations, reducing downtime and increasing predictability for missions and testing.
February 2025
24 Commits • 10 Features
Feb 1, 2025February 2025 summary for StuyPulse/Aunt-Mary focused on delivering core features that improve autonomous climbing, field setup, and operator experience, while tightening code quality and reliability. Key outcomes include substantial climb system enhancements, consolidated sensor/drive alignment logic, improved driver/robot container workflows, and instrumentation that speeds debugging and field readiness. Several critical bugs were resolved to stabilize startup behavior and in-run operations, reducing downtime and increasing predictability for missions and testing.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025: Implemented Climb Subsystem Foundations and Enhancements for StuyPulse/Aunt-Mary, delivering a solid architectural basis for safe, precise climbs and paving the way for rapid iteration and production readiness. The work establishes interfaces, defaults, and observability to support reliable operation and future tuning.
2 Commits • 1 Features
Jan 1, 2025January 2025: Implemented Climb Subsystem Foundations and Enhancements for StuyPulse/Aunt-Mary, delivering a solid architectural basis for safe, precise climbs and paving the way for rapid iteration and production readiness. The work establishes interfaces, defaults, and observability to support reliable operation and future tuning.
January 2025
Activity
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Quality Metrics
Correctness85.6%
Maintainability85.4%
Architecture83.6%
Performance78.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
GradleJava
Technical Skills
Angle RepresentationAutonomous RoutinesBuild System ConfigurationCode FormattingCommand PatternCommand-Based FrameworkCommand-Based ProgrammingComputer VisionConfiguration ManagementConstants ManagementConstants TuningControl SystemsEmbedded SystemsGame StrategyGamepad Input Handling
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