hotosm/drone-tm
Oct 2025 – Apr 2026
5 Months active
Languages Used
INIPythonJavaScriptTypeScript
Technical Skills
AWS S3Backend DevelopmentConfiguration ManagementDatabase ConfigurationDockerFastAPI
HNDRX
PROFILE
Hndrx
Worked on the hotosm/drone-tm repository to deliver a robust, end-to-end image upload and processing pipeline focused on reliability, scalability, and data quality. Leveraged Python, JavaScript, and AWS S3 to implement multipart uploads, migrate storage operations to boto3, and introduce a grid-based sharpness scoring system for terrain image quality assessment. Integrated Uppy for frontend upload handling and enhanced the user experience with telemetry, monitoring, and improved error handling. Refactored backend and frontend components for maintainability, added EXIF data extraction, and introduced HSV-based terrain classification, resulting in faster uploads, automated classification, and a more reliable image review workflow.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
5
Lines of code
12,940
Activity Months5
Your Network
14 peopleWork History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026: Delivered Terrain Image Quality Assessment and Classification Enhancement for hotosm/drone-tm. Implemented robust, grid-based sharpness scoring and HSV-based terrain classification to improve image quality assessment and terrain-type detection, with front-end UI integration and data model updates. Interim refinements removed unnecessary fields to simplify the pipeline and reduce false positives in quality evaluation.
1 Commits • 1 Features
Apr 1, 2026April 2026: Delivered Terrain Image Quality Assessment and Classification Enhancement for hotosm/drone-tm. Implemented robust, grid-based sharpness scoring and HSV-based terrain classification to improve image quality assessment and terrain-type detection, with front-end UI integration and data model updates. Interim refinements removed unnecessary fields to simplify the pipeline and reduce false positives in quality evaluation.
April 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Implemented end-to-end telemetry-enabled image processing workflow improvements for hotosm/drone-tm, including (1) Image Processing Workflow Monitoring and Telemetry Enhancements; (2) backend observability with OpenTelemetry and Sentry tracing; (3) frontend upload UX improvements (processing status dialog and cancellation); (4) resilient asset management and map tile fallback improvements; (5) deployment/config changes to enable monitoring and better environment setup. This work focuses on reliability, faster issue diagnosis, and an improved user experience during image uploads and processing.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Implemented end-to-end telemetry-enabled image processing workflow improvements for hotosm/drone-tm, including (1) Image Processing Workflow Monitoring and Telemetry Enhancements; (2) backend observability with OpenTelemetry and Sentry tracing; (3) frontend upload UX improvements (processing status dialog and cancellation); (4) resilient asset management and map tile fallback improvements; (5) deployment/config changes to enable monitoring and better environment setup. This work focuses on reliability, faster issue diagnosis, and an improved user experience during image uploads and processing.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a robust, end-to-end image ingestion and processing pipeline for hotosm/drone-tm, focusing on reliability, performance, and data quality. Implemented multipart image uploads with Uppy and AWS S3, migrated storage operations from MinIO to boto3, and introduced a scalable image processing and classification workflow with batch support. Refactored components for maintainability, improved staging and upload progress UX, and added presigned URL handling and EXIF data processing. The result is faster, more scalable uploads, automated classification readiness, and a solid foundation for QA automation.
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a robust, end-to-end image ingestion and processing pipeline for hotosm/drone-tm, focusing on reliability, performance, and data quality. Implemented multipart image uploads with Uppy and AWS S3, migrated storage operations from MinIO to boto3, and introduced a scalable image processing and classification workflow with batch support. Refactored components for maintainability, improved staging and upload progress UX, and added presigned URL handling and EXIF data processing. The result is faster, more scalable uploads, automated classification readiness, and a solid foundation for QA automation.
January 2026
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for hotosm/drone-tm focusing on delivering a robust image upload and processing pipeline, end-to-end drone image workflow, and backend migration to S3 with boto3. Business value centers on faster, more reliable uploads, improved user experience, scalable image processing, and stronger data integrity across projects.
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for hotosm/drone-tm focusing on delivering a robust image upload and processing pipeline, end-to-end drone image workflow, and backend migration to S3 with boto3. Business value centers on faster, more reliable uploads, improved user experience, scalable image processing, and stronger data integrity across projects.
October 2025
1 Commits • 1 Features
Oct 1, 2025Month 2025-10: Delivered Local Development Environment Enhancements for hotosm/drone-tm, improving local backend reliability and parity with production. Implemented backend configuration updates (S3 and NODE_ODM environment variables), migrated the database URL to the psycopg3 driver, improved local S3 download root handling, and introduced a utility to strip presigned URLs for local development access. This work, tracked under commit 89edfb72f34421af9e65d7466e5f8a7e25f09916, reduces setup friction, accelerates onboarding, and enables more reliable local testing. Technologies demonstrated include Python-based backend changes, S3 configuration, and database driver modernization.
1 Commits • 1 Features
Oct 1, 2025Month 2025-10: Delivered Local Development Environment Enhancements for hotosm/drone-tm, improving local backend reliability and parity with production. Implemented backend configuration updates (S3 and NODE_ODM environment variables), migrated the database URL to the psycopg3 driver, improved local S3 download root handling, and introduced a utility to strip presigned URLs for local development access. This work, tracked under commit 89edfb72f34421af9e65d7466e5f8a7e25f09916, reduces setup friction, accelerates onboarding, and enables more reliable local testing. Technologies demonstrated include Python-based backend changes, S3 configuration, and database driver modernization.
October 2025
Activity
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Quality Metrics
Correctness83.4%
Maintainability80.0%
Architecture83.4%
Performance76.6%
AI Usage43.4%
Skills & Technologies
Programming Languages
INIJavaScriptPythonTypeScript
Technical Skills
API developmentAWS S3Backend DevelopmentConfiguration ManagementDatabase ConfigurationDockerFastAPINode.jsReactUppybackend developmentdata analysisfrontend developmentimage processing
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