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aashishb

PROFILE

Aashishb

Aashish Bhatt delivered a CMK-encrypted Azure AI Foundry solution for the azure-ai-foundry/foundry-samples repository, focusing on secure, scalable deployments. He architected the system using Bicep, Azure, and DevOps practices, introducing a modular structure with dedicated modules for account creation, encryption configuration, and project management. By integrating User-Assigned Identity with RBAC, he enhanced access control and security across deployment and runtime. Aashish validated the solution end-to-end in production-like environments, ensuring reliability and repeatability. He also authored comprehensive deployment, usage, and troubleshooting documentation, supporting onboarding and operations. The work demonstrates depth in cloud security and infrastructure as code.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
534
Activity Months1

Your Network

4411 people

Same Organization

@microsoft.com
4353
GitOpsMember
Ananta GuptaMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Ami HollanderMember
AndersMember
Andrej KyselicaMember
Andrew MalkovMember

Work History

November 2025

1 Commits • 1 Features

Nov 1, 2025

November 2025: Delivered a CMK-encrypted Azure AI Foundry solution with User-Assigned Identity support for the azure-ai-foundry/foundry-samples repository. Implemented a modular architecture with dedicated modules for account creation, encryption configuration, and project management, all orchestrated by a production-ready Bicep template. Introduced User-Assigned Identity (UAI) with RBAC to strengthen security and access control across deployment and runtime contexts. Created comprehensive deployment, usage, and troubleshooting documentation to accelerate onboarding and operations. Performed end-to-end validation to ensure reliable, repeatable deployments in production-like environments. This work strengthens security posture, supports governance/compliance, and enables scalable, enterprise-grade Foundry deployments.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage60.0%

Skills & Technologies

Programming Languages

Bicep

Technical Skills

AzureCloud SecurityDevOpsInfrastructure as Code

Repositories Contributed To

1 repo

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

azure-ai-foundry/foundry-samples

Nov 2025 Nov 2025
1 Month active

Languages Used

Bicep

Technical Skills

AzureCloud SecurityDevOpsInfrastructure as Code