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Shivani

PROFILE

Shivani

Developed and documented model extensibility features for the Esri/arcgis-python-api repository, focusing on enabling developer-facing workflows in ArcGIS Pro and arcgis.learn. Delivered two Jupyter notebooks that demonstrate address standardization using GPT-3.5 model extension and catastrophic event extraction with GLiNER-based named entity recognition, both leveraging deep learning and natural language processing techniques. Enhanced onboarding and usage guidance by updating documentation and providing step-by-step guides for creating Esri Deep Learning Packages (.dlpk). Incorporated reviewer feedback to refine text classification and NER implementations, ensuring stability and clarity. Work emphasized robust documentation, cross-branch alignment, and clear commit history to support future development.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
1
Lines of code
2,735
Activity Months1

Work History

January 2025

2 Commits • 1 Features

Jan 1, 2025

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:

Activity

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Quality Metrics

Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage50.0%

Skills & Technologies

Programming Languages

JSONJupyter NotebookPython

Technical Skills

ArcGIS API for PythonArcGIS ProDeep LearningDocumentationGLiNERGPT-3.5Model ExtensibilityModel ExtensionNamed Entity Recognition (NER)Natural Language Processing (NLP)Prompt EngineeringZero-shot Learning

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Esri/arcgis-python-api

Jan 2025 Jan 2025
1 Month active

Languages Used

JSONJupyter NotebookPython

Technical Skills

ArcGIS API for PythonArcGIS ProDeep LearningDocumentationGLiNERGPT-3.5