
Worked on the open-edge-platform/scenescape repository to enhance deployment efficiency and sensor data reliability. Addressed deployment optimization by upgrading PostgreSQL to version 15 using the official APT repository, which reduced the Docker image size and resolved LLVM library duplication issues. Improved backend robustness by fixing the sensor calibration logic to preserve initial sensor coordinates and prevent loss of map data during scaling, ensuring more accurate sensor mapping. Utilized skills in backend development, containerization, and DevOps, working primarily with Python and Dockerfile. Demonstrated a disciplined approach to commits and a focus on leaner deployments, faster rollout cycles, and dependable data processing.
June 2025 monthly summary for open-edge-platform/scenescape: Delivered two core outcomes that improve deployment efficiency and data reliability. 1) Deployment and Image Size Optimization: Upgraded PostgreSQL to v15 via official APT repo, reducing the Manager image size and resolving LLVM library duplication, improving deployment efficiency. 2) Sensor Calibration Integrity fix: Fixed calibration logic to preserve initial sensor coordinates (0,0) and prevent losing map_x/map_y during scaling, enhancing map accuracy and sensor reliability. Overall impact: leaner deployments, faster rollout cycles, and more dependable sensor data processing. Technologies: Linux package management via APT, Docker image optimization, PostgreSQL upgrade, sensor calibration logic, and commit discipline.
June 2025 monthly summary for open-edge-platform/scenescape: Delivered two core outcomes that improve deployment efficiency and data reliability. 1) Deployment and Image Size Optimization: Upgraded PostgreSQL to v15 via official APT repo, reducing the Manager image size and resolving LLVM library duplication, improving deployment efficiency. 2) Sensor Calibration Integrity fix: Fixed calibration logic to preserve initial sensor coordinates (0,0) and prevent losing map_x/map_y during scaling, enhancing map accuracy and sensor reliability. Overall impact: leaner deployments, faster rollout cycles, and more dependable sensor data processing. Technologies: Linux package management via APT, Docker image optimization, PostgreSQL upgrade, sensor calibration logic, and commit discipline.

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