
Mike Mahmoud Damola developed a core enhancement for the ThalesGroup/fred repository by building a dynamic document generation tool that integrates image-aware Word templates and upgrades PowerPoint templates for consistent image handling. Using Python for backend development, he implemented an image processor that enables technology-driven imagery in generated documents, reducing manual formatting and streamlining client deliverables. His work included backend improvements for image processing, support for image resizing, and updates to configuration utilities, resulting in a more robust templating engine. He also improved test coverage and CI/CD reliability, demonstrating depth in document generation, image processing, and automated testing within a short timeframe.
January 2026 (ThalesGroup/fred) delivered a core enhancement to the document generation suite by introducing image-aware Word templates and upgrading PowerPoint templates for consistent image handling across formats. This work enables technology-name driven imagery in generated documents, reducing manual formatting and accelerating client-ready collateral. The initiative also included backend image processing enhancements, image resizing support, and utilities updates to image search and configuration, contributing to a more robust and scalable templating engine.
January 2026 (ThalesGroup/fred) delivered a core enhancement to the document generation suite by introducing image-aware Word templates and upgrading PowerPoint templates for consistent image handling across formats. This work enables technology-name driven imagery in generated documents, reducing manual formatting and accelerating client-ready collateral. The initiative also included backend image processing enhancements, image resizing support, and utilities updates to image search and configuration, contributing to a more robust and scalable templating engine.

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