aws-samples/sagemaker-genai-hosting-examples
Nov 2025 – Nov 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
AWSDockerFastAPIMachine LearningWebSocket
dlragha
PROFILE
Dlragha
Deepti Ragha developed a comprehensive SageMaker Bidirectional Streaming Example for the aws-samples/sagemaker-genai-hosting-examples repository, focusing on enabling real-time GenAI hosting use cases. She designed an end-to-end, dockerized workflow that covers container setup, SageMaker endpoint provisioning, and a test client for validating bidirectional streaming capabilities. Using Python, Docker, and AWS, Deepti implemented a reusable streaming pattern that streamlines onboarding for developers and reinforces best practices for streaming architectures. Her work addressed the need for rapid prototyping and validation of streaming pipelines, demonstrating depth in both infrastructure automation and client tooling, though no major bugs were fixed during this 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
39 peopleShared Repositories
39
Andrew SmithMember
btinarwoMember
Christian-kamMember
Davide GallitelliMember
Eashan KaushikMember
EC2 Default UserMember
EC2 Default UserMember
Felipe LopezMember
Dan FergusonMember
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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline