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Eamon O'Reilly

PROFILE

Eamon O'reilly

Eamonn Monaghan developed and enhanced cloud-based agent tooling across Azure/azure-cli and azure-ai-foundry/foundry-samples repositories, focusing on scalable deployment and secure automation. He delivered new Azure CLI workflows for provisioning and managing Cognitive Services agents, integrating containerization and log streaming to improve deployment visibility and debugging. In azure-ai-foundry/foundry-samples, he built a hotel search agent and demonstrated local Python tool execution within hosted agents, aligning tooling with Azure conventions and strengthening configuration management. Eamonn also implemented ABAC-enabled access control for Azure Container Registry, using Python, C#, and YAML to deliver enterprise-grade security and maintainability for cloud-native agent solutions.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

10Total
Bugs
0
Commits
10
Features
5
Lines of code
4,237
Activity Months3

Your Network

4691 people

Same Organization

@microsoft.com
4511
GitOpsMember
Ananta GuptaMember
Abi GicicMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Alexandre GattikerMember
Ami HollanderMember
AndersMember

Work History

March 2026

1 Commits • 1 Features

Mar 1, 2026

March 2026 (2026-03): Delivered ABAC-enabled ACR registry support for the Cognitive Services agent in Azure CLI (Azure/azure-cli). This feature enables fine-grained, policy-driven access control, strengthening security posture for enterprise deployments and aligning with RBAC/ABAC governance. The work is anchored in a single feature with a clear commit and PR linkage, enabling traceability and audit readiness.

February 2026

7 Commits • 3 Features

Feb 1, 2026

February 2026 focused on delivering business-value features for the Foundry samples, improving tool usability, and aligning tooling with Azure standards. Key feature delivery includes Seattle Hotel Agent with hotel availability search (replacing the older date/time tool) along with updated docs and configuration. In addition, a Local Python Tool Execution sample demonstrates containerized local tool usage on hosted agents. Azure Developer tooling and Agent Framework enhancements were completed, including azd-aligned conventions, VS Code launch configuration for easier debugging, and standardized environment variable naming. Cleanup activities included credential removal in the agent framework server setup and version pinning to stable components. These changes collectively improve user experience, developer onboarding, and reliability of tool-based automation for hotel search and agent tooling.

January 2026

2 Commits • 1 Features

Jan 1, 2026

January 2026 monthly summary focusing on Azure CLI enhancements for Cognitive Services hosted agents. Delivered a new CLI workflow to provision hosted cognitive services agents and added improved deployment observability through log streaming. This work accelerates onboarding, enables scalable agent deployment, and enhances debugging capabilities for customers running hosted services.

Activity

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Quality Metrics

Correctness94.0%
Maintainability82.0%
Architecture90.0%
Performance82.0%
AI Usage50.0%

Skills & Technologies

Programming Languages

C#DockerfilePythonYAML

Technical Skills

API DevelopmentAPI developmentAgent FrameworkAzureAzure AIAzure CLI DevelopmentAzure DevelopmentAzure ServicesC#C# DevelopmentCLI DevelopmentCloud ComputingConfiguration ManagementConfiguration managementContainerization

Repositories Contributed To

2 repos

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

azure-ai-foundry/foundry-samples

Feb 2026 Feb 2026
1 Month active

Languages Used

C#DockerfilePythonYAML

Technical Skills

API DevelopmentAPI developmentAgent FrameworkAzureAzure AIAzure Development

Azure/azure-cli

Jan 2026 Mar 2026
2 Months active

Languages Used

Python

Technical Skills

Azure CLI DevelopmentAzure ServicesCLI DevelopmentCloud ComputingContainerizationPython Development