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Sebastian Graef

PROFILE

Sebastian Graef

Worked on automation and infrastructure improvements across Azure/GPT-RAG and azure-ai-foundry/foundry-samples repositories, focusing on reliability and maintainability. Addressed shell script portability by refactoring postProvision.sh to use portable tr-based case conversion, ensuring compatibility with zsh and older Bash versions. Enhanced DevOps workflows by normalizing API key casing checks, reducing provisioning errors and support overhead. Improved deployment reliability for Customer-Managed Keys in Azure AI Foundry by fixing Key Vault URI handling and updating documentation to clarify prerequisites and parameters. Leveraged skills in Shell scripting, Bicep, and Infrastructure as Code, with a strong emphasis on documentation and cross-repository contribution guidelines.

Overall Statistics

Feature vs Bugs

25%Features

Repository Contributions

5Total
Bugs
3
Commits
5
Features
1
Lines of code
71
Activity Months3

Your Network

5007 people

Work History

January 2026

1 Commits

Jan 1, 2026

January 2026 monthly summary for azure-ai-foundry/foundry-samples: Delivered a targeted fix for CMK Key Vault URI handling in Azure AI Foundry deployment and updated documentation to clarify prerequisites and the location parameter. The changes improve deployment reliability and onboarding for customers using Customer-Managed Keys, with a clear code path and documentation alignment.

October 2025

1 Commits

Oct 1, 2025

Month: 2025-10 | Azure/GPT-RAG: Focused on stabilizing provisioning automation by fixing a case-sensitivity issue in API key handling. The primary fix normalized the casing check for USE_CAPP_API_KEY in the postProvision script, ensuring consistent behavior regardless of input casing and improving provisioning reliability across environments.

July 2025

3 Commits • 1 Features

Jul 1, 2025

July 2025 monthly summary for Azure/GPT-RAG highlighting key features delivered, major bugs fixed, overall impact, and technologies demonstrated. Focused on business value and technical achievements across the repository with two primary deliverables and their downstream effects.

Activity

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Quality Metrics

Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance96.0%
AI Usage24.0%

Skills & Technologies

Programming Languages

BicepMarkdownShellbash

Technical Skills

AzureBicepCloud ComputingContribution GuidelinesDevOpsDocumentationInfrastructure as CodeShell Scriptingautomationscripting

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

Azure/GPT-RAG

Jul 2025 Oct 2025
2 Months active

Languages Used

MarkdownShellbash

Technical Skills

Contribution GuidelinesDocumentationShell ScriptingDevOpsautomationscripting

azure-ai-foundry/foundry-samples

Jan 2026 Jan 2026
1 Month active

Languages Used

BicepMarkdown

Technical Skills

AzureBicepCloud ComputingInfrastructure as Code