aws-samples/sagemaker-genai-hosting-examples
Nov 2025 – Nov 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
AWSDockerFastAPIMachine LearningWebSocket
dlragha
PROFILE
Dlragha
Developed a comprehensive bidirectional streaming example for Amazon SageMaker, contributing to the aws-samples/sagemaker-genai-hosting-examples repository. This work delivered an end-to-end, dockerized workflow that enables real-time GenAI hosting use cases by providing container setup, endpoint provisioning, and a Python-based test client for validating streaming capabilities. Leveraging AWS, Docker, and FastAPI, the implementation established a reusable pattern for bidirectional streaming on SageMaker AI endpoints, streamlining onboarding for developers and reinforcing best practices for streaming architectures. The solution focused on rapid prototyping and validation, with detailed documentation to support adoption, and did not require major bug fixes during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,335
Activity Months1
Your Network
46 peopleShared Repositories
46
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Work History
November 2025
1 Commits • 1 Features
Nov 1, 2025Month 2025-11: Delivered a comprehensive SageMaker Bidirectional Streaming Example in aws-samples/sagemaker-genai-hosting-examples. This feature provides end-to-end, dockerized workflow for bidirectional streaming on SageMaker AI endpoints, including container setup, endpoint provisioning, and a test client for validating streaming capabilities. The work is captured in commit aac1959c27a0931266130d79a060805966d29cee (BYO example for bidirectional streaming on SageMaker AI endpoints). Impact: enables rapid prototyping and validation of real-time GenAI hosting use cases, streamlines onboarding for developers, and reinforces best practices for streaming architectures. Technologies demonstrated include SageMaker hosting endpoints, Docker, streaming pipelines, and client tooling.
1 Commits • 1 Features
Nov 1, 2025Month 2025-11: Delivered a comprehensive SageMaker Bidirectional Streaming Example in aws-samples/sagemaker-genai-hosting-examples. This feature provides end-to-end, dockerized workflow for bidirectional streaming on SageMaker AI endpoints, including container setup, endpoint provisioning, and a test client for validating streaming capabilities. The work is captured in commit aac1959c27a0931266130d79a060805966d29cee (BYO example for bidirectional streaming on SageMaker AI endpoints). Impact: enables rapid prototyping and validation of real-time GenAI hosting use cases, streamlines onboarding for developers, and reinforces best practices for streaming architectures. Technologies demonstrated include SageMaker hosting endpoints, Docker, streaming pipelines, and client tooling.
November 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
AWSDockerFastAPIMachine LearningWebSocket
Repositories Contributed To
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