
Over 15 months, contributed to mavlink/qgroundcontrol and ArduPilot/ardupilot by building and refining flight control, mission planning, and UI systems for drones and fixed-wing aircraft. Delivered features such as dynamic mission transformations, adaptive roll limits, and model-driven UI actions, using C++, QML, and Qt to ensure robust cross-platform performance. Addressed safety and reliability through targeted bug fixes, memory management improvements, and enhanced telemetry. The work emphasized maintainable code, clear data models, and operator-focused UX, with regular refactoring and unit testing to support evolving requirements. This approach enabled safer, more flexible flight operations and streamlined development across both repositories.
March 2026 monthly summary for mavlink/qgroundcontrol focused on coordinate management improvements, improved UX for coordinate handling, and expanded test coverage. Delivered key features that enhance scanning accuracy and flexibility, fixed initialization-related coordinate emission bugs, and added unit tests to ensure reliable transforms and boundary handling.
March 2026 monthly summary for mavlink/qgroundcontrol focused on coordinate management improvements, improved UX for coordinate handling, and expanded test coverage. Delivered key features that enhance scanning accuracy and flexibility, fixed initialization-related coordinate emission bugs, and added unit tests to ensure reliable transforms and boundary handling.
February 2026 Monthly Summary for ArduPilot/ardupilot: Delivered expanded fixed-wing flight testing coverage by adding Madrid-area testing locations, enabling broader real-world validation and faster iteration cycles. This enhancement improves geographic coverage, reduces planning time, and strengthens confidence in fixed-wing mission execution. No major bugs fixed this month; focus remained on feature delivery and test coverage. Technologies demonstrated: geographic data augmentation, commit-driven delivery, and integration with the testing framework to support scalable validation.
February 2026 Monthly Summary for ArduPilot/ardupilot: Delivered expanded fixed-wing flight testing coverage by adding Madrid-area testing locations, enabling broader real-world validation and faster iteration cycles. This enhancement improves geographic coverage, reduces planning time, and strengthens confidence in fixed-wing mission execution. No major bugs fixed this month; focus remained on feature delivery and test coverage. Technologies demonstrated: geographic data augmentation, commit-driven delivery, and integration with the testing framework to support scalable validation.
January 2026 monthly summary for mavlink/qgroundcontrol focusing on business value and technical achievements. Delivered centralized altitude handling, batch mission transformations, and a new Mission Settings UX, with memory-safety improvements reducing runtime risk and improving operator efficiency.
January 2026 monthly summary for mavlink/qgroundcontrol focusing on business value and technical achievements. Delivered centralized altitude handling, batch mission transformations, and a new Mission Settings UX, with memory-safety improvements reducing runtime risk and improving operator efficiency.
December 2025: Focused on UI clarity and mission-editing reliability in mavlink/qgroundcontrol. Delivered two feature enhancements and implemented targeted refactors to improve maintainability and future velocity.
December 2025: Focused on UI clarity and mission-editing reliability in mavlink/qgroundcontrol. Delivered two feature enhancements and implemented targeted refactors to improve maintainability and future velocity.
In 2025-11, delivered a set of UX, data-model, and stability improvements for mavlink/qgroundcontrol that collectively enhance user productivity, reliability, and cross-vehicle workflows. Key features include a model-driven UI Actions visibility system that eliminates manual expression maintenance, a Landing Complex Item movement enhancement that fixes full-pattern relocation for both fixed-wing and VTOL layouts, and data model/UI improvements for Facts with centralized placeholder handling and invalid-value semantics. Additionally, a stability fix for TrashDelete SVG rendering under a Qt update ensures consistent iconography until the renderer stabilizes. These efforts reduce maintenance burden, improve runtime UX, and strengthen the platform’s consistency across vehicle types and UI components.
In 2025-11, delivered a set of UX, data-model, and stability improvements for mavlink/qgroundcontrol that collectively enhance user productivity, reliability, and cross-vehicle workflows. Key features include a model-driven UI Actions visibility system that eliminates manual expression maintenance, a Landing Complex Item movement enhancement that fixes full-pattern relocation for both fixed-wing and VTOL layouts, and data model/UI improvements for Facts with centralized placeholder handling and invalid-value semantics. Additionally, a stability fix for TrashDelete SVG rendering under a Qt update ensures consistent iconography until the renderer stabilizes. These efforts reduce maintenance burden, improve runtime UX, and strengthen the platform’s consistency across vehicle types and UI components.
October 2025: Strengthened flight safety in ArduPilot/ardupilot by hardening the landing sequence with a focused safety fix. Delivered a guard that ensures landing slope recalculation only runs when the rangefinder is actively used for landing, preventing unintended altitude changes during critical final approach. This targeted patch improves landing reliability, reduces risk during critical phases, and demonstrates disciplined version control and safety practices.
October 2025: Strengthened flight safety in ArduPilot/ardupilot by hardening the landing sequence with a focused safety fix. Delivered a guard that ensures landing slope recalculation only runs when the rangefinder is actively used for landing, preventing unintended altitude changes during critical final approach. This targeted patch improves landing reliability, reduces risk during critical phases, and demonstrates disciplined version control and safety practices.
September 2025 monthly summary for ArduPilot/ardupilot focusing on parameter metadata quality. No new features delivered this month. Implemented a targeted DisplayName typo fix for CLIMB_SLOPE_HGT in ArduPlane, ensuring accurate user-facing parameter descriptions with no functional changes. Change recorded in commit f5c08778545ca08fe77e04f081276133cc385018. Result: clearer documentation, reduced user confusion, and preserved system behavior.
September 2025 monthly summary for ArduPilot/ardupilot focusing on parameter metadata quality. No new features delivered this month. Implemented a targeted DisplayName typo fix for CLIMB_SLOPE_HGT in ArduPlane, ensuring accurate user-facing parameter descriptions with no functional changes. Change recorded in commit f5c08778545ca08fe77e04f081276133cc385018. Result: clearer documentation, reduced user confusion, and preserved system behavior.
July 2025 performance highlights for ArduPilot/ardupilot and mavlink/qgroundcontrol: Implemented precision roll limit handling, improved pitch override accuracy, and added loiter direction control for guided actions. Specific deliveries: - Roll limit handling improvements: refactor to separate roll limits from load factor calculation and switch to floating-point degrees; commits 4aec2c8a70b7947e6e0b23eed4c43b305b94479f and f7fa4f7d2b163b51b87a84b5fc73b09b99774145. - Pitch override accuracy under stick mixing: fixed to ensure full deflection can override pitch limits; commit 9a72f3222728dae54de15bef1fd247a8c90fd01c. - Loiter direction control for guided actions: added yaw-based loiter direction parameter and UI support; commit cc9c921c0d2f1fa14b025b55fda123e8d3ad92e3. Addressed bug where vehicle would always circle clockwise regardless of input. Overall impact: increased precision and safety in flight control, faster and more intuitive guided actions, and better maintainability through modular code. Technologies/skills demonstrated: flight-control algorithms, floating-point math, modular refactoring, UI integration and cross-repo collaboration.
July 2025 performance highlights for ArduPilot/ardupilot and mavlink/qgroundcontrol: Implemented precision roll limit handling, improved pitch override accuracy, and added loiter direction control for guided actions. Specific deliveries: - Roll limit handling improvements: refactor to separate roll limits from load factor calculation and switch to floating-point degrees; commits 4aec2c8a70b7947e6e0b23eed4c43b305b94479f and f7fa4f7d2b163b51b87a84b5fc73b09b99774145. - Pitch override accuracy under stick mixing: fixed to ensure full deflection can override pitch limits; commit 9a72f3222728dae54de15bef1fd247a8c90fd01c. - Loiter direction control for guided actions: added yaw-based loiter direction parameter and UI support; commit cc9c921c0d2f1fa14b025b55fda123e8d3ad92e3. Addressed bug where vehicle would always circle clockwise regardless of input. Overall impact: increased precision and safety in flight control, faster and more intuitive guided actions, and better maintainability through modular code. Technologies/skills demonstrated: flight-control algorithms, floating-point math, modular refactoring, UI integration and cross-repo collaboration.
Month: 2025-06 - Performance review-oriented monthly summary focusing on key accomplishments and business value. Key features delivered: - Qt/QML build and compatibility across Qt versions: Adopted NO_PLUGIN for static QML modules, fixed QML module discovery for Qt 6.6.3, and resolved QApplicationStatic issues to improve build robustness and runtime compatibility. Major bugs fixed: - TerrainQuery stability: addressed use-after-free and cleaned up request queue logic to prevent crashes and improve reliability. UI/mission visualization improvements: - Mission visualization and flight map rendering: refactored visuals toLoader-based creation, asynchronous MissionItemEditor loading, and long-path drawing optimizations for better performance and accuracy. VTOL/landing and navigation enhancements: - Improved landing pattern handling, heading calculations, loiter radius management, and added new vehicle heading data to enhance operator situational awareness; fixed VTOL landing item crashes and improved landing approach item handling. Overall impact and accomplishments: - Increased build robustness across Qt versions, reduced runtime crashes, and delivered faster, more reliable UI rendering for mission planning and execution. - Strengthened VTOL and landing pattern fidelity, contributing to safer, more predictable flight operations and operator workflows. Technologies/skills demonstrated: - CMake-based build optimization, Qt 6.x/QML integration, QPointer lifetime management, loader-based asynchronous UI loading, and mission rendering workflows. Note: All changes are contained in mavlink/qgroundcontrol for June 2025.
Month: 2025-06 - Performance review-oriented monthly summary focusing on key accomplishments and business value. Key features delivered: - Qt/QML build and compatibility across Qt versions: Adopted NO_PLUGIN for static QML modules, fixed QML module discovery for Qt 6.6.3, and resolved QApplicationStatic issues to improve build robustness and runtime compatibility. Major bugs fixed: - TerrainQuery stability: addressed use-after-free and cleaned up request queue logic to prevent crashes and improve reliability. UI/mission visualization improvements: - Mission visualization and flight map rendering: refactored visuals toLoader-based creation, asynchronous MissionItemEditor loading, and long-path drawing optimizations for better performance and accuracy. VTOL/landing and navigation enhancements: - Improved landing pattern handling, heading calculations, loiter radius management, and added new vehicle heading data to enhance operator situational awareness; fixed VTOL landing item crashes and improved landing approach item handling. Overall impact and accomplishments: - Increased build robustness across Qt versions, reduced runtime crashes, and delivered faster, more reliable UI rendering for mission planning and execution. - Strengthened VTOL and landing pattern fidelity, contributing to safer, more predictable flight operations and operator workflows. Technologies/skills demonstrated: - CMake-based build optimization, Qt 6.x/QML integration, QPointer lifetime management, loader-based asynchronous UI loading, and mission rendering workflows. Note: All changes are contained in mavlink/qgroundcontrol for June 2025.
April 2025 monthly summary for ArduPilot/ardupilot. Focused on safety-first flight envelope enhancements and control flexibility in plane configurations. Delivered two features with direct business value: adaptive roll limits based on aerodynamic load factor when an airspeed sensor is active and stall speed defined; and FBW-style roll-only stick mixing enabling roll and yaw control without affecting pitch. These updates reduce risk near stall, improve pilot workload, and broaden configurable control strategies for automated flight modes. Commit traces provide clear deliverable lineage.
April 2025 monthly summary for ArduPilot/ardupilot. Focused on safety-first flight envelope enhancements and control flexibility in plane configurations. Delivered two features with direct business value: adaptive roll limits based on aerodynamic load factor when an airspeed sensor is active and stall speed defined; and FBW-style roll-only stick mixing enabling roll and yaw control without affecting pitch. These updates reduce risk near stall, improve pilot workload, and broaden configurable control strategies for automated flight modes. Commit traces provide clear deliverable lineage.
2025-03 monthly performance summary for key flight-control and ground-control codebases, highlighting UI/UX improvements, reliability enhancements, and safety-oriented feature delivery across mavlink/qgroundcontrol and ArduPilot/ardupilot. The work focused on stabilizing guided flight interactions, centralizing forward flight logic, and strengthening takeoff/landing robustness, while also improving telemetry accuracy for GCS integrations. Business value realized includes faster, safer mission planning and execution, reduced operator error, and decreased maintenance overhead due to more predictable behavior across firmware and plugins.
2025-03 monthly performance summary for key flight-control and ground-control codebases, highlighting UI/UX improvements, reliability enhancements, and safety-oriented feature delivery across mavlink/qgroundcontrol and ArduPilot/ardupilot. The work focused on stabilizing guided flight interactions, centralizing forward flight logic, and strengthening takeoff/landing robustness, while also improving telemetry accuracy for GCS integrations. Business value realized includes faster, safer mission planning and execution, reduced operator error, and decreased maintenance overhead due to more predictable behavior across firmware and plugins.
February 2025 monthly summary for ArduPilot and QGroundControl: delivered safety-critical corrections, feature refinements, and cross-repo UX improvements across flight control, TECS, landing state reporting, energy management, and platform compatibility. Focused on business value: safety, reliability, and wider device/OS support while enabling more flexible operation and clearer user outcomes.
February 2025 monthly summary for ArduPilot and QGroundControl: delivered safety-critical corrections, feature refinements, and cross-repo UX improvements across flight control, TECS, landing state reporting, energy management, and platform compatibility. Focused on business value: safety, reliability, and wider device/OS support while enabling more flexible operation and clearer user outcomes.
January 2025: Delivered notable safety, usability, and maintainability improvements across MAVLink QGroundControl and ArduPilot. Highlights include configurable landing sequences and RTL logic, unified mission rendering, unit-change UI fix, new safety parameters, voltage-based throttle cutoff, terminology modernization, and enhanced stall handling. These changes improve RTL predictability, obstacle clearance safety, flight safety in low-battery scenarios, and UX consistency across surfaces. Commit traceability provided.
January 2025: Delivered notable safety, usability, and maintainability improvements across MAVLink QGroundControl and ArduPilot. Highlights include configurable landing sequences and RTL logic, unified mission rendering, unit-change UI fix, new safety parameters, voltage-based throttle cutoff, terminology modernization, and enhanced stall handling. These changes improve RTL predictability, obstacle clearance safety, flight safety in low-battery scenarios, and UX consistency across surfaces. Commit traceability provided.
December 2024: Delivered automation, reliability, and UI/flight-planning enhancements for QGroundControl, focusing on business value, operator experience, and robust ArduPlane integration. Implemented a CI/CD pipeline for custom builds, stabilized UI rendering, enhanced preflight and mission planning robustness, and improved RTL altitude compatibility for ArduPlane, enabling smoother operations and faster release cycles.
December 2024: Delivered automation, reliability, and UI/flight-planning enhancements for QGroundControl, focusing on business value, operator experience, and robust ArduPlane integration. Implemented a CI/CD pipeline for custom builds, stabilized UI rendering, enhanced preflight and mission planning robustness, and improved RTL altitude compatibility for ArduPlane, enabling smoother operations and faster release cycles.
2024-11 Monthly summary for mavlink/qgroundcontrol highlights key features delivered, critical bug fixes, and the resulting business value. Delivered work enhances build reliability, cross-device compatibility, and developer productivity for Android deployments, with explicit commitments improving traceability.
2024-11 Monthly summary for mavlink/qgroundcontrol highlights key features delivered, critical bug fixes, and the resulting business value. Delivered work enhances build reliability, cross-device compatibility, and developer productivity for Android deployments, with explicit commitments improving traceability.

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