madeline-underwood/arm-learning-paths
Feb 2025 – Jan 2026
8 Months active
Languages Used
MarkdownBashGitTextYAMLPythonMakefileShell
Technical Skills
AzureCloud ComputingDocumentationTechnical WritingVirtual MachinesARM Architecture
Geremy Cohen
PROFILE
Geremy Cohen
Geremy Cohen developed and maintained the madeline-underwood/arm-learning-paths repository, delivering robust multi-architecture deployment guides, benchmarking tools, and onboarding documentation for ARM, Intel, and AMD platforms. He engineered cross-architecture workflows using Python, Bash, and Kubernetes, focusing on automation, modular design, and scalable file structures. His work included end-to-end install testing across major Linux distributions, unified deployment scripts, and performance monitoring integration. By refactoring documentation, consolidating kernel build guides, and streamlining repository assets, Geremy improved onboarding speed, reduced operational risk, and enhanced maintainability. The depth of his contributions ensured reliable, consistent deployment experiences and accelerated feature delivery for cloud-native environments.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
132Total
Bugs
17
Commits
132
Features
60
Lines of code
15,183
Activity Months8
Your Network
651 peopleSame Organization
@arm.com522
Work History
January 2026
9 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a consolidated Arm Kernel Build and Fastpath Documentation and Guides for madeline-underwood/arm-learning-paths, including instance recommendations, kernel build steps, and benchmarking onboarding to accelerate user onboarding and performance testing. Updated AWS instance references across docs (Graviton/m6g) and renamed older references (e.g., c8g) to reflect current offerings. Refactored documentation to clarify uname usage and provide concrete kernel value examples, and merged two install bash groups into a single, reusable Fastpath reference. Performed testing-driven fixes and removed legacy image assets to streamline the repository. Overall, these efforts improve onboarding speed, benchmarking consistency, maintenance, and load times, delivering clear technical guidance with tangible business value.
9 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a consolidated Arm Kernel Build and Fastpath Documentation and Guides for madeline-underwood/arm-learning-paths, including instance recommendations, kernel build steps, and benchmarking onboarding to accelerate user onboarding and performance testing. Updated AWS instance references across docs (Graviton/m6g) and renamed older references (e.g., c8g) to reflect current offerings. Refactored documentation to clarify uname usage and provide concrete kernel value examples, and merged two install bash groups into a single, reusable Fastpath reference. Performed testing-driven fixes and removed legacy image assets to streamline the repository. Overall, these efforts improve onboarding speed, benchmarking consistency, maintenance, and load times, delivering clear technical guidance with tangible business value.
January 2026
November 2025
4 Commits • 3 Features
Nov 1, 2025Month: 2025-11 — Concise monthly summary focusing on business value and technical achievements for madeline-underwood/arm-learning-paths. Highlights: unified nginx deployment via Shared ConfigMap across ARM/Intel; documentation improvements; repository cleanup; cross-arch deployment consistency and reduced configuration drift.
November 2025
4 Commits • 3 Features
Nov 1, 2025Month: 2025-11 — Concise monthly summary focusing on business value and technical achievements for madeline-underwood/arm-learning-paths. Highlights: unified nginx deployment via Shared ConfigMap across ARM/Intel; documentation improvements; repository cleanup; cross-arch deployment consistency and reduced configuration drift.
October 2025
31 Commits • 20 Features
Oct 1, 2025Month: 2025-10 — Focused on delivering a robust, multi-architecture Nginx on AKS learning path, strengthening deployment tooling, and improving tutorial quality to accelerate onboarding and reduce operational risk. Key outcomes span initial cluster setup and full AMD/Intel/ARM deployment tutorial, enhanced nginx_util.sh including login, pod identification, and monitoring improvements, and a major documentation overhaul with curl-based artifacts and centralized YAML. Added performance monitoring capabilities (wrk, btop) and improved log outputs. Maintenance tasks (gitignore, file renames) contributed to repo hygiene and long-term reliability.
31 Commits • 20 Features
Oct 1, 2025Month: 2025-10 — Focused on delivering a robust, multi-architecture Nginx on AKS learning path, strengthening deployment tooling, and improving tutorial quality to accelerate onboarding and reduce operational risk. Key outcomes span initial cluster setup and full AMD/Intel/ARM deployment tutorial, enhanced nginx_util.sh including login, pod identification, and monitoring improvements, and a major documentation overhaul with curl-based artifacts and centralized YAML. Added performance monitoring capabilities (wrk, btop) and improved log outputs. Maintenance tasks (gitignore, file renames) contributed to repo hygiene and long-term reliability.
October 2025
June 2025
30 Commits • 14 Features
Jun 1, 2025June 2025 highlights for madeline-underwood/arm-learning-paths. Delivered feature-rich charting improvements, enhanced benchmarking workflows, and strengthened platform reliability, while advancing code quality through modular refactors, tests, and documentation. Achievements focused on business value: faster data insights, more reliable benchmarks, cross-architecture validation, and maintainable codebase enabling faster future iteration.
June 2025
30 Commits • 14 Features
Jun 1, 2025June 2025 highlights for madeline-underwood/arm-learning-paths. Delivered feature-rich charting improvements, enhanced benchmarking workflows, and strengthened platform reliability, while advancing code quality through modular refactors, tests, and documentation. Achievements focused on business value: faster data insights, more reliable benchmarks, cross-architecture validation, and maintainable codebase enabling faster future iteration.
May 2025
25 Commits • 13 Features
May 1, 2025May 2025 monthly summary — madeline-underwood/arm-learning-paths Overview: Delivered a solid foundation for rapid feature development, strengthened cross-OS reliability, and improved code quality and user guidance. Achievements span project scaffolding, UI scaffolding, OS-focused testing, benchmarking tooling, and ongoing UI/UX polish, all aimed at accelerating value delivery for customers and reducing maintenance risk. Key features delivered: - Project scaffolding and initial file structure established for a scalable codebase, enabling faster onboarding and consistent project layout (commit 9643f630). - Index and overview pages scaffolding, including OS pages and general page size overview, providing a unified entry point and navigational structure (commits 65e957e..., 0df2f01c..., 6fa780b6..., 09a83ca7). - C4 Install Page created, adding a concrete installation path for users (commit e6e34b8a). - v1 cleanup and UI final tweaks to polish the initial release and prepare for next iterations (commit f28acab2, 66290fb7). - OS-specific end-to-end install/uninstall tests added and executed across Debian, Ubuntu, and CentOS to validate install flows (commits ea34ebd4, cf3dad8f, a9143d7c, f79d9020). - Remove install guide and add landing-page warning to prevent outdated guidance, improving user safety and reducing confusion (commit b941b23d). - Benchmarking and visualization enhancements, including parallel benchmarks and a first visualizer to speed up analysis and feedback (commits d89df078, a467fac8). - CLI configuration improvements with enhanced argument parsing and dependencies management, enabling overrides of test defaults and easier maintenance (commits 6f55cfb4, 7a57b365). Major bugs fixed: - Code quality improvements: fixed formatting and removed unused imports to clean up the codebase (commit 01eacdb2). - Readability improvements: label cleanup to enhance UI/report readability (commit 3b1f133e). - Metric integrity updates: removed geomean chart due to inconsistency and updated charts to more reliable metrics (commit e4502abd...), and derived hostnames for instances with fixes to slash-based wrapping, plus removal of the overall geomean chart (commit cd98edc0). Overall impact and accomplishments: - Strengthened core foundation with scalable scaffolding, a solid UI baseline, and consistent navigation, accelerating feature delivery and reducing time-to-value. - Improved cross-OS reliability through automated end-to-end testing, ensuring robust install/uninstall flows for customers on Debian/Ubuntu/CentOS. - Enhanced data analysis and performance feedback with parallel benchmarking and a visualizer, enabling faster iteration cycles. - Increased maintainability and clarity through code cleanup, label readability improvements, and safer metrics reporting. Technologies/skills demonstrated: - Python tooling, CLI enhancements (argparse), and dependency management, enabling flexible test configurations. - End-to-end testing across multiple Linux distributions, with automation and validation of install/uninstall flows. - UI/UX polish and labeling improvements for clearer reports and dashboards. - Data visualization and benchmarking orchestration, including parallel execution to reduce test time. - Data quality improvements via hostnames derivation, wrapping fixes, and metric consolidation/removal of inconsistent charts.
25 Commits • 13 Features
May 1, 2025May 2025 monthly summary — madeline-underwood/arm-learning-paths Overview: Delivered a solid foundation for rapid feature development, strengthened cross-OS reliability, and improved code quality and user guidance. Achievements span project scaffolding, UI scaffolding, OS-focused testing, benchmarking tooling, and ongoing UI/UX polish, all aimed at accelerating value delivery for customers and reducing maintenance risk. Key features delivered: - Project scaffolding and initial file structure established for a scalable codebase, enabling faster onboarding and consistent project layout (commit 9643f630). - Index and overview pages scaffolding, including OS pages and general page size overview, providing a unified entry point and navigational structure (commits 65e957e..., 0df2f01c..., 6fa780b6..., 09a83ca7). - C4 Install Page created, adding a concrete installation path for users (commit e6e34b8a). - v1 cleanup and UI final tweaks to polish the initial release and prepare for next iterations (commit f28acab2, 66290fb7). - OS-specific end-to-end install/uninstall tests added and executed across Debian, Ubuntu, and CentOS to validate install flows (commits ea34ebd4, cf3dad8f, a9143d7c, f79d9020). - Remove install guide and add landing-page warning to prevent outdated guidance, improving user safety and reducing confusion (commit b941b23d). - Benchmarking and visualization enhancements, including parallel benchmarks and a first visualizer to speed up analysis and feedback (commits d89df078, a467fac8). - CLI configuration improvements with enhanced argument parsing and dependencies management, enabling overrides of test defaults and easier maintenance (commits 6f55cfb4, 7a57b365). Major bugs fixed: - Code quality improvements: fixed formatting and removed unused imports to clean up the codebase (commit 01eacdb2). - Readability improvements: label cleanup to enhance UI/report readability (commit 3b1f133e). - Metric integrity updates: removed geomean chart due to inconsistency and updated charts to more reliable metrics (commit e4502abd...), and derived hostnames for instances with fixes to slash-based wrapping, plus removal of the overall geomean chart (commit cd98edc0). Overall impact and accomplishments: - Strengthened core foundation with scalable scaffolding, a solid UI baseline, and consistent navigation, accelerating feature delivery and reducing time-to-value. - Improved cross-OS reliability through automated end-to-end testing, ensuring robust install/uninstall flows for customers on Debian/Ubuntu/CentOS. - Enhanced data analysis and performance feedback with parallel benchmarking and a visualizer, enabling faster iteration cycles. - Increased maintainability and clarity through code cleanup, label readability improvements, and safer metrics reporting. Technologies/skills demonstrated: - Python tooling, CLI enhancements (argparse), and dependency management, enabling flexible test configurations. - End-to-end testing across multiple Linux distributions, with automation and validation of install/uninstall flows. - UI/UX polish and labeling improvements for clearer reports and dashboards. - Data visualization and benchmarking orchestration, including parallel execution to reduce test time. - Data quality improvements via hostnames derivation, wrapping fixes, and metric consolidation/removal of inconsistent charts.
May 2025
April 2025
6 Commits • 1 Features
Apr 1, 2025April 2025: Delivered focused improvements to documentation, tooling reliability, and data pipeline robustness for Ollama deployment on GKE and Milvus RAG service usage. The effort emphasized clear user guidance, maintainable build steps, and accurate architecture references, enabling faster onboarding and lower operational risk. Strategic outcomes include a more reliable deployment workflow, reduced support overhead, and improved developer productivity across the arm-learning-paths project.
April 2025
6 Commits • 1 Features
Apr 1, 2025April 2025: Delivered focused improvements to documentation, tooling reliability, and data pipeline robustness for Ollama deployment on GKE and Milvus RAG service usage. The effort emphasized clear user guidance, maintainable build steps, and accurate architecture references, enabling faster onboarding and lower operational risk. Strategic outcomes include a more reliable deployment workflow, reduced support overhead, and improved developer productivity across the arm-learning-paths project.
March 2025
22 Commits • 6 Features
Mar 1, 2025March 2025 (Month: 2025-03) - Monthly summary for madeline-underwood/arm-learning-paths focused on delivering cross-architecture capabilities, improving documentation and onboarding, and strengthening PR workflows, while addressing polish and stability. Key features delivered: - Arm and AMD64 architecture and multi-arch enablement: Added ARM nodes, renamed architecture identifiers to arm and amd64, completed ARM install section, and enabled x86/multi-arch services; reorganized file structure to support architecture changes. Representative commits include: 111393f2601d0032b007f2fb22c7e1ed8a871726; 963f793d6eb5c0f0f06974e394cd21d1e402b58f; 3b607670da43cac1fcd53b600f72a646da4b68f5; 341e686ab2992c635ed2f7f12aedd9c40bc04ea9; ad269c6573fe7d9100e3b1270ea2b8891c76c4d6; 2cdf5a2cb7397d0d643eb29cec95b4aebac3e5e7. - Documentation and content updates: Improved documentation, added reading material, condensed intro page, and integrated image assets. Representative commits: 613bc4b486cacbaa4c48b80bc1cf494a741948e2; 1c2993bdca4a7f70a53f54348a23dc0b5ba7e820; 9416c8070176b007e754f5eaf36d246392295796. - Landing Page beta: Beta release of the Landing Page (LP) to accelerate product visibility. Commit: 465a692a60935fa0497c2502b7bb6094b6b63847. - Repository hygiene and scaffolding: Updated gitignore rules to improve repository hygiene; established initial PR workflow and scaffolding; and performed code cleanup for readability and maintainability. Rep. hygiene commit: 333e6c4cb1cd8a83a419a12fb5656c981f0c7d1a; PR scaffolding commit: 8707d12a36f9af1f9c460b5af0b7a861fa288a37; code cleanup commit: 4758fe4b7a8f677c551eed96e8c75787db3eb91b. Major bugs fixed and polish: - Typo fixes and asset updates to improve polish and UX: 8cb6b8e708619b636ff0be78bafc82bde16a85b1; 44d2d9981b839d3d25c94dc7766904808cf470d0. - Apply suggested fixes from code reviews: f4e9e42455717bc1856f24534664c21e25936388. - Copy improvements and pronoun UX updates: 680ef58d4ff6e96a18642c2528677aed4a73b413. - Merge conflict resolutions across multiple integrations to stabilize the main branch: a7652b7d1b9373d9eeee06042756ba3da347ed75; aba914685c70e30d4c801d790cc2581cc496c097; 38e581852a78e3c345cc3f9da95a02337decca35; 0e3602f360b6e67535ef2b1647aca8cb2949e1f5; fdb1922bf06c9c8618e43cef270a462d95cf4da7. Overall impact and accomplishments: - Business value: Established cross-architecture support and a scalable file structure, enabling multi-arch deployments and faster time-to-value for ARM and AMD64 workloads; improved onboarding with clearer docs, a beta LP for early market feedback, and a PR-enabled workflow for faster collaboration. - Technical outcomes: Stabilized multi-arch services, completed ARM install flow, and reorganized architecture-related codebase; reduced release friction via enhanced git hygiene and merge conflict resolutions; improved user-facing copy and assets for a more professional product experience. Technologies/skills demonstrated: - Cross-architecture development (ARM/AMD64), architecture naming standardization, and multi-arch service orchestration - Documentation excellence, asset management, and UX copy improvements - PR workflow setup, code cleanup, and merge conflict resolution - Image assets integration and content polish
22 Commits • 6 Features
Mar 1, 2025March 2025 (Month: 2025-03) - Monthly summary for madeline-underwood/arm-learning-paths focused on delivering cross-architecture capabilities, improving documentation and onboarding, and strengthening PR workflows, while addressing polish and stability. Key features delivered: - Arm and AMD64 architecture and multi-arch enablement: Added ARM nodes, renamed architecture identifiers to arm and amd64, completed ARM install section, and enabled x86/multi-arch services; reorganized file structure to support architecture changes. Representative commits include: 111393f2601d0032b007f2fb22c7e1ed8a871726; 963f793d6eb5c0f0f06974e394cd21d1e402b58f; 3b607670da43cac1fcd53b600f72a646da4b68f5; 341e686ab2992c635ed2f7f12aedd9c40bc04ea9; ad269c6573fe7d9100e3b1270ea2b8891c76c4d6; 2cdf5a2cb7397d0d643eb29cec95b4aebac3e5e7. - Documentation and content updates: Improved documentation, added reading material, condensed intro page, and integrated image assets. Representative commits: 613bc4b486cacbaa4c48b80bc1cf494a741948e2; 1c2993bdca4a7f70a53f54348a23dc0b5ba7e820; 9416c8070176b007e754f5eaf36d246392295796. - Landing Page beta: Beta release of the Landing Page (LP) to accelerate product visibility. Commit: 465a692a60935fa0497c2502b7bb6094b6b63847. - Repository hygiene and scaffolding: Updated gitignore rules to improve repository hygiene; established initial PR workflow and scaffolding; and performed code cleanup for readability and maintainability. Rep. hygiene commit: 333e6c4cb1cd8a83a419a12fb5656c981f0c7d1a; PR scaffolding commit: 8707d12a36f9af1f9c460b5af0b7a861fa288a37; code cleanup commit: 4758fe4b7a8f677c551eed96e8c75787db3eb91b. Major bugs fixed and polish: - Typo fixes and asset updates to improve polish and UX: 8cb6b8e708619b636ff0be78bafc82bde16a85b1; 44d2d9981b839d3d25c94dc7766904808cf470d0. - Apply suggested fixes from code reviews: f4e9e42455717bc1856f24534664c21e25936388. - Copy improvements and pronoun UX updates: 680ef58d4ff6e96a18642c2528677aed4a73b413. - Merge conflict resolutions across multiple integrations to stabilize the main branch: a7652b7d1b9373d9eeee06042756ba3da347ed75; aba914685c70e30d4c801d790cc2581cc496c097; 38e581852a78e3c345cc3f9da95a02337decca35; 0e3602f360b6e67535ef2b1647aca8cb2949e1f5; fdb1922bf06c9c8618e43cef270a462d95cf4da7. Overall impact and accomplishments: - Business value: Established cross-architecture support and a scalable file structure, enabling multi-arch deployments and faster time-to-value for ARM and AMD64 workloads; improved onboarding with clearer docs, a beta LP for early market feedback, and a PR-enabled workflow for faster collaboration. - Technical outcomes: Stabilized multi-arch services, completed ARM install flow, and reorganized architecture-related codebase; reduced release friction via enhanced git hygiene and merge conflict resolutions; improved user-facing copy and assets for a more professional product experience. Technologies/skills demonstrated: - Cross-architecture development (ARM/AMD64), architecture naming standardization, and multi-arch service orchestration - Documentation excellence, asset management, and UX copy improvements - PR workflow setup, code cleanup, and merge conflict resolution - Image assets integration and content polish
March 2025
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 — madeline-underwood/arm-learning-paths: Delivered two key features focusing on ARM deployment guidance and macOS ARM tooling docs. No major defects fixed this month. Improvements centered on documentation quality and onboarding clarity, enabling faster ARM adoption and smoother developer enablement.
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 — madeline-underwood/arm-learning-paths: Delivered two key features focusing on ARM deployment guidance and macOS ARM tooling docs. No major defects fixed this month. Improvements centered on documentation quality and onboarding clarity, enabling faster ARM adoption and smoother developer enablement.
Activity
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Quality Metrics
Correctness93.4%
Maintainability92.0%
Architecture90.6%
Performance88.2%
AI Usage20.2%
Skills & Technologies
Programming Languages
BashGitMakefileMarkdownNonePythonShellTextYAMLbash
Technical Skills
ARM ArchitectureAWSAutomationAzureBenchmarkingBenchmarking AnalysisBuild SystemsCI/CDCLI DevelopmentCloud ComputingCommand Line InterfaceCommand-line InterfaceContent ManagementData AnalysisData Processing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline