azure-ai-foundry/foundry-samples
May 2025 – May 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
AI IntegrationAzure AI FoundryJupyter NotebooksMultimodal AIOCRPDF Processing
Harizo Rajaona
PROFILE
Harizo Rajaona
Developed an end-to-end document analysis solution within the azure-ai-foundry/foundry-samples repository by creating a Jupyter notebook that integrates Mistral OCR and Vision-Language Model (VLM) capabilities. The work focused on enabling seamless PDF processing, extracting text and images using OCR, and leveraging VLM for summarization and figure description, all within a single workflow. The notebook included comprehensive setup instructions, helper utilities, and example usage to streamline onboarding and experimentation in Azure AI Foundry environments. This contribution demonstrated proficiency in Python, multimodal AI integration, and PDF processing, providing a practical resource for production pipeline adoption and document analysis tasks.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,794
Activity Months1
Your Network
85 peopleShared Repositories
65
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for azure-ai-foundry/foundry-samples: Delivered a new Mistral OCR and VLM integration notebook enabling end-to-end document analysis within Azure AI Foundry, including PDF processing, OCR-based text/images extraction, and VLM-assisted summarization and figure description. The notebook provides setup instructions, helper utilities, and example usage to accelerate adoption and experimentation in production pipelines.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for azure-ai-foundry/foundry-samples: Delivered a new Mistral OCR and VLM integration notebook enabling end-to-end document analysis within Azure AI Foundry, including PDF processing, OCR-based text/images extraction, and VLM-assisted summarization and figure description. The notebook provides setup instructions, helper utilities, and example usage to accelerate adoption and experimentation in production pipelines.
May 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage100.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
AI IntegrationAzure AI FoundryJupyter NotebooksMultimodal AIOCRPDF ProcessingVLM
Repositories Contributed To
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