
Worked on SDK migration and model inference optimization across two open-source repositories. In google-gemini/cookbook, migrated the Guess the Shape Jupyter Notebook to a new SDK by updating installation commands, imports, and content generation calls, consolidating changes to streamline future maintenance. In keras-team/keras, upgraded OpenVINO integration from opset14 to opset15, improving model inference compatibility and performance with newer runtimes. Documented the rationale and changelog for the opset upgrade to support ongoing maintenance. Leveraged Python, Jupyter Notebooks, and deep learning frameworks to ensure codebase alignment with evolving SDK and hardware acceleration standards, focusing on maintainability and compatibility.
February 2026 monthly summary for keras-team/keras: Delivered a targeted OpenVINO Opset upgrade to improve model inference compatibility and performance, establishing a foundation for future OpenVINO enhancements and broader hardware acceleration support.
February 2026 monthly summary for keras-team/keras: Delivered a targeted OpenVINO Opset upgrade to improve model inference compatibility and performance, establishing a foundation for future OpenVINO enhancements and broader hardware acceleration support.
March 2025: Delivered SDK migration for the Guess the Shape example in google-gemini/cookbook. Updated notebook to use the new SDK (pip install, imports, content generation call) and refreshed copyright year. This aligns with the new SDK structure, improves downstream compatibility, and reduces future maintenance by consolidating changes into a single migration commit.
March 2025: Delivered SDK migration for the Guess the Shape example in google-gemini/cookbook. Updated notebook to use the new SDK (pip install, imports, content generation call) and refreshed copyright year. This aligns with the new SDK structure, improves downstream compatibility, and reduces future maintenance by consolidating changes into a single migration commit.

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