
During January 2025, Shubham Choudhary developed ArcGIS Model Extensibility Notebooks and Deep Learning Package Documentation for the Esri/arcgis-python-api repository. He created two Jupyter notebooks demonstrating model extensibility in ArcGIS, including address standardization using GPT-3.5 and catastrophic event entity recognition with GLiNER. His work included detailed guides for building Esri Deep Learning Packages (.dlpk) for ArcGIS Pro and arcgis.learn, with updates to related documentation for clarity. Shubham’s technical approach leveraged Python, deep learning, and prompt engineering, and he refined implementations based on reviewer feedback, ensuring robust developer-facing features and comprehensive onboarding resources for model extension workflows.

Concise monthly summary for 2025-01 focused on delivering developer-facing capabilities and ensuring robust documentation for ArcGIS Python API model extensibility. Key achievements and deliverables included:
Concise monthly summary for 2025-01 focused on delivering developer-facing capabilities and ensuring robust documentation for ArcGIS Python API model extensibility. Key achievements and deliverables included:
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