
Contributed to the una-auxme/paf autonomous driving stack by delivering 34 features and resolving 22 bugs over three months, focusing on motion planning, lane management, and behavioral programming. Enhanced map geometry integration, parking flow, and perception modules using Python, C++, and ROS, while refactoring core lane change and overtaking logic for safer, more predictable maneuvers. Improved code maintainability through structured refactoring, code cleanup, and legacy deprecation, introducing clearer interfaces and robust diagnostics. Addressed stability and control loop issues, optimized path planning, and implemented new debugging tools, resulting in a more reliable, maintainable, and safer autonomous driving system across multiple releases.
In March 2025 (Month: 2025-03), delivered core lane-change enhancements, stability improvements and diagnostics across the autonomous driving stack for una-auxme/paf. Key features delivered include Lane Change System Improvements with new lane-free direction enum and multiple fixes, Overtake/Marker Handling and related adjustments to improve reliability and diagnostics, Town13 XML integration in agent service, and broader code quality/utility enhancements. Major bugs fixed include initialization/trajectory handling, velocity calculations and sign handling, parking maneuver safety, and removal of deprecated services. Overall the month saw improved safety, reliability, maintainability, and performance of motion planning and control, with measurable business value in safer lane changes, more predictable overtakes, and cleaner signaling behavior.
In March 2025 (Month: 2025-03), delivered core lane-change enhancements, stability improvements and diagnostics across the autonomous driving stack for una-auxme/paf. Key features delivered include Lane Change System Improvements with new lane-free direction enum and multiple fixes, Overtake/Marker Handling and related adjustments to improve reliability and diagnostics, Town13 XML integration in agent service, and broader code quality/utility enhancements. Major bugs fixed include initialization/trajectory handling, velocity calculations and sign handling, parking maneuver safety, and removal of deprecated services. Overall the month saw improved safety, reliability, maintainability, and performance of motion planning and control, with measurable business value in safer lane changes, more predictable overtakes, and cleaner signaling behavior.
February 2025 (2025-02) monthly summary for una-auxme/paf. This period focused on structured refactoring for maintainability, feature delivery in lane management and path planning, and stability improvements across the control loop and map integration. Deliveries emphasize business value through clearer interfaces, safer control flows, and enhanced planning capabilities. Key outcomes include:
February 2025 (2025-02) monthly summary for una-auxme/paf. This period focused on structured refactoring for maintainability, feature delivery in lane management and path planning, and stability improvements across the control loop and map integration. Deliveries emphasize business value through clearer interfaces, safer control flows, and enhanced planning capabilities. Key outcomes include:
January 2025 performance summary for una-auxme/paf: Delivered core map geometry enhancements, parking flow reliability, perception updates, and improved observability, driving safer autonomous behavior and faster debugging.
January 2025 performance summary for una-auxme/paf: Delivered core map geometry enhancements, parking flow reliability, perception updates, and improved observability, driving safer autonomous behavior and faster debugging.

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