core-stack-org/core-stack-backend
Nov 2025 – Feb 2026
3 Months active
Languages Used
Python
Technical Skills
Pythonbackend developmentAWSAWS S3Python programmingSTAC
Vishnu S
PROFILE
Vishnu S
Vishnu Vaishnav developed and enhanced geospatial data management features for the core-stack-org/core-stack-backend repository over a three-month period. He focused on backend improvements, including unified STAC catalog generation across multiple administrative levels and automated STAC item creation for raster and vector data. Using Python, AWS S3, and geospatial libraries such as geopandas and rasterio, Vishnu streamlined metadata handling, improved thumbnail rendering for better data visualization, and integrated with GeoServer for scalable delivery. His work addressed metadata clarity, searchability, and data governance, resulting in more reliable geospatial previews and reduced maintenance overhead, demonstrating depth in backend and data processing engineering.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
4
Lines of code
3,928
Activity Months3
Your Network
15 peopleShared Repositories
15
Work History
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026 monthly performance summary for core-stack-backend: Delivered two geospatial data features that enhance data ingestion, visualization, and GeoServer integration; introduced an automated STAC item generator for raster/vector data and improved thumbnail rendering for better layer visibility. No major bugs reported this month. Business impact includes faster pipeline updates, improved data governance, and more reliable geospatial previews.
2 Commits • 2 Features
Feb 1, 2026February 2026 monthly performance summary for core-stack-backend: Delivered two geospatial data features that enhance data ingestion, visualization, and GeoServer integration; introduced an automated STAC item generator for raster/vector data and improved thumbnail rendering for better layer visibility. No major bugs reported this month. Business impact includes faster pipeline updates, improved data governance, and more reliable geospatial previews.
February 2026
January 2026
3 Commits • 1 Features
Jan 1, 20262026-01 Monthly Summary for core-stack-backend: Delivered unified STAC catalog generation and metadata enhancements across state, district, and block levels, with script-based item generation, integration with GeoServer, AWS credential handling, and S3-hosted thumbnail URLs. Achieved metadata quality improvements including enhanced keywords and configurable end-dates. Fixed temporal and keyword-related issues in STAC collection files and implemented minor fixes across the STAC spec collections.
January 2026
3 Commits • 1 Features
Jan 1, 20262026-01 Monthly Summary for core-stack-backend: Delivered unified STAC catalog generation and metadata enhancements across state, district, and block levels, with script-based item generation, integration with GeoServer, AWS credential handling, and S3-hosted thumbnail URLs. Achieved metadata quality improvements including enhanced keywords and configurable end-dates. Fixed temporal and keyword-related issues in STAC collection files and implemented minor fixes across the STAC spec collections.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary: Delivered a metadata clarity upgrade for the CoRE Stack Spatio Temporal Asset Catalog in the backend, updating the STAC title and description to improve clarity, consistency, and searchability. No major bugs fixed this month. Overall impact includes improved metadata quality, reduced support queries, and enhanced catalog usability. Key technologies include STAC metadata standards, and git-based change management in core-stack-backend.
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary: Delivered a metadata clarity upgrade for the CoRE Stack Spatio Temporal Asset Catalog in the backend, updating the STAC title and description to improve clarity, consistency, and searchability. No major bugs fixed this month. Overall impact includes improved metadata quality, reduced support queries, and enhanced catalog usability. Key technologies include STAC metadata standards, and git-based change management in core-stack-backend.
November 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability83.4%
Architecture83.4%
Performance83.4%
AI Usage33.4%
Skills & Technologies
Programming Languages
Python
Technical Skills
AWSAWS S3PythonPython programmingPython scriptingSTACbackend developmentdata managementdata processingdata visualizationgeopandasgeospatial analysismetadata handlingpystacrasterio
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