aws-samples/sagemaker-genai-hosting-examples
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
AWSData ScienceMachine LearningPythonSageMaker
Hazim Qudah
PROFILE
Hazim Qudah
Developed a G7E Inference Notebook for SageMaker Deployment, contributing to the aws-samples/sagemaker-genai-hosting-examples repository. The notebook guides users through environment setup, model configuration, and inference invocation, supporting both text and multimodal inputs. Using Python and leveraging AWS services such as SageMaker, the solution enables reproducible, end-to-end demonstrations suitable for quick onboarding and blog tutorials. The work focused on making the deployment process accessible and repeatable, allowing customers to evaluate G7E models efficiently. By integrating data science and machine learning best practices, the notebook streamlines the process of running and testing inference workflows in a cloud environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,381,211
Activity Months1
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Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026Month 2026-04: Delivered a G7E Inference Notebook for SageMaker Deployment in the aws-samples/sagemaker-genai-hosting-examples repository. The notebook provides end-to-end coverage of environment setup, model configuration, and inference invocation for both text and multimodal inputs, enabling quick demos and blog-ready tutorials. Commit 59c4be3e6dd86baaef27b10b62bc1f994ec4d21d: 'adding g7e inference notebook for blog' to ensure reproducibility and easy onboarding.
1 Commits • 1 Features
Apr 1, 2026Month 2026-04: Delivered a G7E Inference Notebook for SageMaker Deployment in the aws-samples/sagemaker-genai-hosting-examples repository. The notebook provides end-to-end coverage of environment setup, model configuration, and inference invocation for both text and multimodal inputs, enabling quick demos and blog-ready tutorials. Commit 59c4be3e6dd86baaef27b10b62bc1f994ec4d21d: 'adding g7e inference notebook for blog' to ensure reproducibility and easy onboarding.
April 2026
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AWSData ScienceMachine LearningPythonSageMaker
Repositories Contributed To
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