madeline-underwood/arm-learning-paths
Jul 2025 – May 2026
4 Months active
Languages Used
MarkdownBash
Technical Skills
DocumentationShell ScriptingArm CCAAttestationConfidential ComputingDocker
Anton Antonov
PROFILE
Anton Antonov
Developed and maintained a series of security-focused learning paths in the madeline-underwood/arm-learning-paths repository, enabling hands-on adoption of Arm Confidential Compute Architecture. Delivered end-to-end workflows for attestation, confidential containers, and secure boot, emphasizing reproducibility and onboarding efficiency. Leveraged technologies such as Arm CCA, Docker, and Linux, and documented complex architectures using Markdown and Bash scripting. Enhanced instructional clarity by refining documentation, troubleshooting guidance, and command outputs, reducing onboarding friction for new users. Integrated secure enclave workflows, encrypted file systems, and UEFI configuration, providing comprehensive guidance for confidential computing scenarios and accelerating secure development practices within cloud-native environments.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
3
Lines of code
1,569
Activity Months4
Your Network
720 peopleSame Organization
@arm.com581
Work History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary: Delivered a comprehensive Arm CCA BootSync Learning Path in the madeline-underwood/arm-learning-paths repo, enabling secure boot and encrypted file systems in a reproducible FVP setup; documented integration steps for the User Context service, EFI variable configuration, and secret data handling; provided end-to-end troubleshooting and verification steps to validate secure boot and encrypted partition access.
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary: Delivered a comprehensive Arm CCA BootSync Learning Path in the madeline-underwood/arm-learning-paths repo, enabling secure boot and encrypted file systems in a reproducible FVP setup; documented integration steps for the User Context service, EFI variable configuration, and secret data handling; provided end-to-end troubleshooting and verification steps to validate secure boot and encrypted partition access.
May 2026
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.
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.
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.
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
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.
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.
Activity
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Quality Metrics
Correctness96.0%
Maintainability92.0%
Architecture92.0%
Performance80.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
BashMarkdown
Technical Skills
Arm CCAAttestationCloud ComputingConfidential ComputingContainerizationDevOpsDockerDocumentationLinuxSecurityShell ScriptingTechnical WritingTrusteeUEFIcloud computing
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