b-partners/geo-jobs
Nov 2025 – May 2026
4 Months active
Languages Used
JavaYAML
Technical Skills
Backend DevelopmentJavaJUnitMockitoback end developmentbackend development
RickaPrincy
PROFILE
Rickaprincy
Worked on the b-partners/geo-jobs repository, delivering backend enhancements for CityJSON and Lidar data processing pipelines. Focused on improving serialization readiness, lifecycle safety, and 3D geometry extraction, the work included extending support for new object types and refining polygon extraction accuracy. Addressed operational stability by tuning memory usage, fixing environment configuration issues, and implementing robust file cleanup to prevent resource leakage. Leveraged Java, Spring Framework, and AWS to ensure reliable API interactions and maintainable code. Emphasized test stability and data integrity, resulting in more accurate geospatial outputs and streamlined CI workflows for consistent, high-quality backend processing.
Overall Statistics
Feature vs Bugs
44%Features
Repository Contributions
14Total
Bugs
5
Commits
14
Features
4
Lines of code
148
Activity Months4
Your Network
9 peopleWork History
May 2026
4 Commits
May 1, 2026Month: 2026-05 — Performance-focused delivery for the b-partners/geo-jobs Lidar pipeline. Delivered reliability, stability, and resource-management improvements that reduce downstream failures and operational risk, while tightening memory and environment handling to support robust processing in varied runtime conditions.
4 Commits
May 1, 2026Month: 2026-05 — Performance-focused delivery for the b-partners/geo-jobs Lidar pipeline. Delivered reliability, stability, and resource-management improvements that reduce downstream failures and operational risk, while tightening memory and environment handling to support robust processing in varied runtime conditions.
May 2026
April 2026
4 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for b-partners/geo-jobs. Delivered key CityJSON processing enhancements and 3D model extraction robustness, with cross-service mapping fixes improving data integrity and reducing risk of data loss. Highlights include extended support for BUILDING_ROOF_SEGMENT_FACE, corrected DelimitationObjectType mappings across services, and disabling SkinnyArmRemover when segmentation is not performed during 3D generation.
April 2026
4 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for b-partners/geo-jobs. Delivered key CityJSON processing enhancements and 3D model extraction robustness, with cross-service mapping fixes improving data integrity and reducing risk of data loss. Highlights include extended support for BUILDING_ROOF_SEGMENT_FACE, corrected DelimitationObjectType mappings across services, and disabling SkinnyArmRemover when segmentation is not performed during 3D generation.
December 2025
4 Commits • 2 Features
Dec 1, 2025Monthly summary for 2025-12 (b-partners/geo-jobs): Focus this month was on delivering accurate geospatial geometry processing and stabilizing the test suite to support faster, reliable delivery of CityJSON-based outputs. Key features delivered: - Improved 3D geometry processing for the Lidar-to-City JSON pipeline. This includes using radians for slope conversion in LidarDataToCityJsonProcessor and strengthening 3D plane filtering with minimum edge length and parallel direction criteria to improve polygon extraction accuracy. Commits: 95f4f00340bef88d69f7805b51cacc769265e327; 1d28b68e8415b9620028c339fe51d5f9ab499fa7. - Roof geometry robustness improvements by lowering the minimum 2D area threshold for planes in RoofProperties to 0.25, reducing holes in roof geometry processing. Commit: e45615e872f7686edf8018f4c017afaa01cc40a6. Major bug fixed: - Test stability: disabled flaky ReadmeLogCreatedServiceTest to maintain a stable test suite while investigations and fixes are pursued. Commit: 441cb3017dd05b2f12ae5d099482234d82f40f06. Overall impact and accomplishments: - Improved data quality and reliability of geospatial outputs, enabling more accurate CityJSON generation and less post-processing QA. - Reduced geometry holes in roof processing, leading to more complete surface representations and better downstream analyses. - Stabilized CI/test suite, accelerating iteration cycles and reducing noise in release readiness and performance reviews. Technologies/skills demonstrated: - 3D geometry processing, CityJSON/Lidar data pipelines, polygon extraction, and plane filtering. - Threshold tuning and geometric quality improvements to improve pipeline robustness. - Test maintenance and stability practices to sustain a reliable development workflow. - Practical collaboration within the b-partners/geo-jobs repository to deliver business value through robust engineering.
4 Commits • 2 Features
Dec 1, 2025Monthly summary for 2025-12 (b-partners/geo-jobs): Focus this month was on delivering accurate geospatial geometry processing and stabilizing the test suite to support faster, reliable delivery of CityJSON-based outputs. Key features delivered: - Improved 3D geometry processing for the Lidar-to-City JSON pipeline. This includes using radians for slope conversion in LidarDataToCityJsonProcessor and strengthening 3D plane filtering with minimum edge length and parallel direction criteria to improve polygon extraction accuracy. Commits: 95f4f00340bef88d69f7805b51cacc769265e327; 1d28b68e8415b9620028c339fe51d5f9ab499fa7. - Roof geometry robustness improvements by lowering the minimum 2D area threshold for planes in RoofProperties to 0.25, reducing holes in roof geometry processing. Commit: e45615e872f7686edf8018f4c017afaa01cc40a6. Major bug fixed: - Test stability: disabled flaky ReadmeLogCreatedServiceTest to maintain a stable test suite while investigations and fixes are pursued. Commit: 441cb3017dd05b2f12ae5d099482234d82f40f06. Overall impact and accomplishments: - Improved data quality and reliability of geospatial outputs, enabling more accurate CityJSON generation and less post-processing QA. - Reduced geometry holes in roof processing, leading to more complete surface representations and better downstream analyses. - Stabilized CI/test suite, accelerating iteration cycles and reducing noise in release readiness and performance reviews. Technologies/skills demonstrated: - 3D geometry processing, CityJSON/Lidar data pipelines, polygon extraction, and plane filtering. - Threshold tuning and geometric quality improvements to improve pipeline robustness. - Test maintenance and stability practices to sustain a reliable development workflow. - Practical collaboration within the b-partners/geo-jobs repository to deliver business value through robust engineering.
December 2025
November 2025
2 Commits • 1 Features
Nov 1, 2025Performance summary for 2025-11 focusing on the b-partners/geo-jobs repository. The month delivered robustness improvements to the CityJSON request pipeline, aligning the codebase with serialization requirements and lifecycle rules to reduce processing errors and improve downstream stability.
November 2025
2 Commits • 1 Features
Nov 1, 2025Performance summary for 2025-11 focusing on the b-partners/geo-jobs repository. The month delivered robustness improvements to the CityJSON request pipeline, aligning the codebase with serialization requirements and lifecycle rules to reduce processing errors and improve downstream stability.
Activity
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Quality Metrics
Correctness90.0%
Maintainability87.2%
Architecture85.8%
Performance88.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaYAML
Technical Skills
AWSBackend DevelopmentCloud FunctionsConfiguration ManagementDevOpsJUnitJavaMockitoServerless ArchitectureSpring Frameworkback end developmentbackend developmentdata processingfile handlingunit testing
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