azure-ai-foundry/foundry-samples
May 2025 – Jul 2025
2 Months active
Languages Used
C#MarkdownPython
Technical Skills
Agent DevelopmentAsynchronous ProgrammingAzure AIAzure AI AgentsAzure FunctionsAzure.AI.Agents
Aryaan Singh
PROFILE
Aryaan Singh
Ary Singh developed browser automation capabilities for Azure AI Agents within the azure-ai-foundry/foundry-samples repository, delivering end-to-end Python and C# samples that demonstrate agent setup, browser-driven recipe search, and shopping list generation. Singh authored both code and documentation, ensuring reproducibility and ease of onboarding for new users. The work included integrating Playwright for browser automation, migrating references to Playwright Workspaces, and updating connection details to align with evolving tooling. By covering the full agent lifecycle and maintaining commit-level traceability, Singh improved maintainability and future-proofed test automation, while enabling faster evaluation and demonstration of Azure AI Agent workflows across languages.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
557
Activity Months2
Your Network
4490 peopleSame Organization
@microsoft.com4432
GitOpsMember
Ananta GuptaMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Ami HollanderMember
AndersMember
Andrej KyselicaMember
Andrew MalkovMember
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered Playwright Workspaces Migration for azure-ai-foundry/foundry-samples, migrating references from Playwright RP to Playwright Workspaces across documentation and code samples; updated links, connection IDs, and setup instructions to reflect the new Playwright Workspaces service; ensured the browser automation agent uses the new service. The work reduces future maintenance, aligns tooling with current Playwright offerings, and stabilizes test automation across samples.
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered Playwright Workspaces Migration for azure-ai-foundry/foundry-samples, migrating references from Playwright RP to Playwright Workspaces across documentation and code samples; updated links, connection IDs, and setup instructions to reflect the new Playwright Workspaces service; ensured the browser automation agent uses the new service. The work reduces future maintenance, aligns tooling with current Playwright offerings, and stabilizes test automation across samples.
July 2025
May 2025
4 Commits • 1 Features
May 1, 2025Month: 2025-05 Key features delivered: - Browser automation integration for Azure AI Agents (Samples) in azure-ai-foundry/foundry-samples, including a Python script (browser_automation.py), a Markdown doc (BrowserAutomation.md), and two end-to-end C# samples (BrowserAutomationAsync.cs and BrowserAutomationSync.cs). Demonstrates an agent setup with a browser automation tool to search recipes, generate shopping lists, and return results. - Documentation and sample suite support for Python and C#, enabling quick onboarding and evaluation. Major bugs fixed: - No major bugs fixed in this scope based on the provided data. Overall impact and accomplishments: - Accelerated practical adoption by delivering ready-to-run end-to-end examples across Python and C#, enabling faster testing and demonstration of browser-automated Azure AI Agent workflows. - Improves reproducibility and maintainability with coherent documentation and commit-traceable samples. Technologies/skills demonstrated: - Python scripting and automation, C# development, documentation authoring. - Azure AI Agents workflow orchestration and browser automation integration. - Cross-language sample design, end-to-end lifecycle coverage (creation, run/thread, cleanup).
May 2025
4 Commits • 1 Features
May 1, 2025Month: 2025-05 Key features delivered: - Browser automation integration for Azure AI Agents (Samples) in azure-ai-foundry/foundry-samples, including a Python script (browser_automation.py), a Markdown doc (BrowserAutomation.md), and two end-to-end C# samples (BrowserAutomationAsync.cs and BrowserAutomationSync.cs). Demonstrates an agent setup with a browser automation tool to search recipes, generate shopping lists, and return results. - Documentation and sample suite support for Python and C#, enabling quick onboarding and evaluation. Major bugs fixed: - No major bugs fixed in this scope based on the provided data. Overall impact and accomplishments: - Accelerated practical adoption by delivering ready-to-run end-to-end examples across Python and C#, enabling faster testing and demonstration of browser-automated Azure AI Agent workflows. - Improves reproducibility and maintainability with coherent documentation and commit-traceable samples. Technologies/skills demonstrated: - Python scripting and automation, C# development, documentation authoring. - Azure AI Agents workflow orchestration and browser automation integration. - Cross-language sample design, end-to-end lifecycle coverage (creation, run/thread, cleanup).
Activity
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Quality Metrics
Correctness100.0%
Maintainability96.0%
Architecture96.0%
Performance96.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
C#MarkdownPython
Technical Skills
Agent DevelopmentAsynchronous ProgrammingAzure AIAzure AI AgentsAzure FunctionsAzure.AI.AgentsBrowser AutomationC#C# DevelopmentConfiguration ManagementPlaywrightPythonSDK IntegrationSample Code Development
Repositories Contributed To
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