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Yomi Lajide

PROFILE

Yomi Lajide

Worked on the microsoft/edge-ai repository to enhance deployment flexibility and observability for IoT and edge operations. Delivered features that enabled reuse of existing Azure resource groups and improved telemetry instrumentation by refactoring Bicep and Terraform modules. Introduced comprehensive testing for messaging components and streamlined configuration through runtime detection of resource groups, reducing onboarding friction and configuration complexity. Improved the OpenTelemetry Collector setup by enhancing error handling, logging, and metric management. Leveraged skills in Azure Resource Management, Infrastructure as Code, and CI/CD pipelines, using languages such as Bicep, Terraform, and YAML to deliver robust, maintainable cloud infrastructure solutions.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
4
Lines of code
2,092
Activity Months2

Your Network

4768 people

Same Organization

@microsoft.com
4720
GitOpsMember
Ananta GuptaMember
Abi GicicMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Alexandre GattikerMember
Ami HollanderMember
AndersMember

Shared Repositories

48
Alain UyidiMember
Alexandre GattikerMember
Allen GreavesMember
Andrej KyselicaMember
Andrew MalkovMember
Audrey OlsonMember
Basia MahoneyMember
Ben BrooksMember
Braden EriksenMember

Work History

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 2025 monthly summary for microsoft/edge-ai: Focused on delivering a feature that simplifies resource group handling by detecting resource group existence at runtime and removing the explicit use_existing_resource_group flag. The change affects blueprints, CI files, and the core resource group module, improving onboarding and reducing configuration complexity.

May 2025

3 Commits • 3 Features

May 1, 2025

May 2025 (2025-05) – Microsoft Edge AI: Delivered core feature enhancements focused on deployment flexibility, observability, and testable configuration. The work strengthens IoT/edge operations readiness and reduces deployment friction for customers by enabling reuse of existing resources and improving telemetry instrumentation.

Activity

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Quality Metrics

Correctness95.0%
Maintainability90.0%
Architecture95.0%
Performance80.0%
AI Usage70.0%

Skills & Technologies

Programming Languages

BashBicepHCLMarkdownShellTerraformYAML

Technical Skills

AzureAzure Resource ManagementBicepCI/CDCloud InfrastructureDevOpsHelmInfrastructure as Code (IaC)KubernetesMonitoringObservabilityOpenTelemetryRefactoringTerraformTesting

Repositories Contributed To

1 repo

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

microsoft/edge-ai

May 2025 Jun 2025
2 Months active

Languages Used

BashBicepHCLMarkdownShellTerraformYAML

Technical Skills

Azure Resource ManagementBicepCI/CDCloud InfrastructureDevOpsHelm