madeline-underwood/arm-learning-paths
Jul 2025 – Dec 2025
3 Months active
Languages Used
MarkdownBash
Technical Skills
DocumentationShell ScriptingArm CCAAttestationConfidential ComputingDocker
Anton Antonov
PROFILE
Anton Antonov
Anton Antonov contributed to the madeline-underwood/arm-learning-paths repository by designing and documenting end-to-end learning paths for confidential computing with Arm CCA and Trustee services. He developed guided workflows for attestation and confidential container deployment, enabling developers to securely launch CCA realms and manage encrypted images. Anton focused on technical clarity, refining instructional content and troubleshooting guidance to accelerate onboarding and reduce confusion. His work integrated technologies such as Docker, Linux, and Bash, and emphasized secure architecture visibility. Through detailed documentation and hands-on examples, Anton improved the reliability and accessibility of confidential compute workflows for both new and experienced users.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
1,008
Activity Months3
Your Network
653 peopleSame Organization
@arm.com524
Work History
December 2025
2 Commits • 1 Features
Dec 1, 2025Month 2025-12 — Consolidated gains in confidential compute enablement within madeline-underwood/arm-learning-paths. Delivered the Confidential Containers Learning Path to demonstrate running encrypted images with Arm CCA and Trustee services, and improved documentation clarity for Confidential Containers and TEE. The work emphasizes hands-on learning, security architecture visibility, and alignment with ARM’s Confidential Compute concepts.
2 Commits • 1 Features
Dec 1, 2025Month 2025-12 — Consolidated gains in confidential compute enablement within madeline-underwood/arm-learning-paths. Delivered the Confidential Containers Learning Path to demonstrate running encrypted images with Arm CCA and Trustee services, and improved documentation clarity for Confidential Containers and TEE. The work emphasizes hands-on learning, security architecture visibility, and alignment with ARM’s Confidential Compute concepts.
December 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: August 2025. Key feature delivered: End-to-end Attestation Learning Path with Arm CCA and Trustee, enabling developers to run a complete attestation flow from Trustee setup through launching a CCA realm to obtaining confidential data. The release documents the software architecture and components—Attestation Service, Key Broker Service, and Guest Components—and includes setup steps, attestation workflow, and troubleshooting guidance for access-denied issues. No major bugs reported this month; focus was on feature delivery and documentation. Overall impact and accomplishments: Provides a scalable, security-first learning path that accelerates adoption of Arm Confidential Compute Architecture in development workflows, improves the organization’s ability to experiment with confidential data workflows, and strengthens onboarding reliability for new users. The work demonstrates strong ability to design end-to-end secure flows, document complex architectures, and guide practical implementation. Technologies/skills demonstrated: Arm CCA, Trustee services, Attestation Service, Key Broker Service, Guest Components; secure enclave workflows; architecture design; onboarding/documentation; troubleshooting of access control scenarios; end-to-end workflow orchestration.
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: August 2025. Key feature delivered: End-to-end Attestation Learning Path with Arm CCA and Trustee, enabling developers to run a complete attestation flow from Trustee setup through launching a CCA realm to obtaining confidential data. The release documents the software architecture and components—Attestation Service, Key Broker Service, and Guest Components—and includes setup steps, attestation workflow, and troubleshooting guidance for access-denied issues. No major bugs reported this month; focus was on feature delivery and documentation. Overall impact and accomplishments: Provides a scalable, security-first learning path that accelerates adoption of Arm Confidential Compute Architecture in development workflows, improves the organization’s ability to experiment with confidential data workflows, and strengthens onboarding reliability for new users. The work demonstrates strong ability to design end-to-end secure flows, document complex architectures, and guide practical implementation. Technologies/skills demonstrated: Arm CCA, Trustee services, Attestation Service, Key Broker Service, Guest Components; secure enclave workflows; architecture design; onboarding/documentation; troubleshooting of access control scenarios; end-to-end workflow orchestration.
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary for madeline-underwood/arm-learning-paths: Focused on improving instructional content accuracy and consistency within learning paths. No new features delivered this month; fixed a set of instructional issues and clarified command outputs to enhance learner experience. This work reduces confusion and supports faster onboarding of learners and contributors.
1 Commits
Jul 1, 2025July 2025 monthly summary for madeline-underwood/arm-learning-paths: Focused on improving instructional content accuracy and consistency within learning paths. No new features delivered this month; fixed a set of instructional issues and clarified command outputs to enhance learner experience. This work reduces confusion and supports faster onboarding of learners and contributors.
July 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashMarkdown
Technical Skills
Arm CCAAttestationCloud ComputingConfidential ComputingContainerizationDevOpsDockerDocumentationLinuxSecurityShell ScriptingTrusteecloud computingconfidential computingdocumentation
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