BradLarson/max-recipes
Mar 2025 – Jun 2025
4 Months active
Languages Used
MarkdownMojoPythonShellTOMLYAML
Technical Skills
AI ApplicationsAI Model OptimizationBuild ToolsCUDACode SimplificationCustom Operations
Brad Larson
PROFILE
Brad Larson
Developed and maintained GPU-accelerated AI workflows in the BradLarson/max-recipes repository, focusing on Mojo and the MAX framework. Delivered end-to-end GPU programming recipes, optimized matrix multiplication, and created custom operation templates for both CPU and GPU, leveraging Python and Mojo for integration and scripting. Modernized the build system by introducing Pixi for dependency management and aligning with the latest MAX nightly builds, which improved compatibility and streamlined onboarding. Enhanced documentation and tutorials to support developer adoption, while implementing automated tests and benchmarks to ensure correctness and performance. Prioritized maintainability and future-proofing by refactoring code and standardizing dependencies across modules.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
7
Lines of code
8,451
Activity Months4
Your Network
10 peopleShared Repositories
10
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 Monthly Summary (BradLarson/max-recipes) focusing on delivery of features, major fixes, impact, and technical skills demonstrated.
1 Commits • 1 Features
Jun 1, 2025June 2025 Monthly Summary (BradLarson/max-recipes) focusing on delivery of features, major fixes, impact, and technical skills demonstrated.
June 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary focusing on the BradLarson/max-recipes repo. Delivered a comprehensive Mojo custom operation development template and aligned the build system with the latest nightly, establishing a repeatable path for CPU/GPU op development and reducing packaging overhead.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary focusing on the BradLarson/max-recipes repo. Delivered a comprehensive Mojo custom operation development template and aligned the build system with the latest nightly, establishing a repeatable path for CPU/GPU op development and reducing packaging overhead.
April 2025
3 Commits • 3 Features
Apr 1, 2025April 2025 was focused on ensuring MAX nightly compatibility, modernizing GPU workflows, and aligning custom operations with the latest nightly builds. Delivered three major features: compatibility-enhancing refactor for MAX extension loading; updated Mojo GPU examples to use the new gpu.host API; and aligned custom operations recipes with the 20250429 nightly, including explicit device placement and updated pyproject dependencies. These changes reduce upgrade risk, improve GPU-accelerated pipelines, and improve maintainability for future MAX nightly transitions.
3 Commits • 3 Features
Apr 1, 2025April 2025 was focused on ensuring MAX nightly compatibility, modernizing GPU workflows, and aligning custom operations with the latest nightly builds. Delivered three major features: compatibility-enhancing refactor for MAX extension loading; updated Mojo GPU examples to use the new gpu.host API; and aligned custom operations recipes with the 20250429 nightly, including explicit device placement and updated pyproject dependencies. These changes reduce upgrade risk, improve GPU-accelerated pipelines, and improve maintainability for future MAX nightly transitions.
April 2025
March 2025
11 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for BradLarson/max-recipes: Delivered GPU-accelerated Mojo recipes using MAX Driver API and MAX Graph, enabling end-to-end GPU-accelerated Mojo workloads. Also updated docs and tutorials to streamline setup with Magic installation, pinned the repo to MAX nightly 25.2.0.dev2025031005, and updated LayoutTensor usage for latest nightlies. Result: improved runtime performance for GPU-enabled workflows, smoother onboarding for developers, and a solid foundation for future AI ops and experiments.
March 2025
11 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for BradLarson/max-recipes: Delivered GPU-accelerated Mojo recipes using MAX Driver API and MAX Graph, enabling end-to-end GPU-accelerated Mojo workloads. Also updated docs and tutorials to streamline setup with Magic installation, pinned the repo to MAX nightly 25.2.0.dev2025031005, and updated LayoutTensor usage for latest nightlies. Result: improved runtime performance for GPU-enabled workflows, smoother onboarding for developers, and a solid foundation for future AI ops and experiments.
Activity
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Quality Metrics
Correctness93.6%
Maintainability90.6%
Architecture91.8%
Performance87.6%
AI Usage22.4%
Skills & Technologies
Programming Languages
MarkdownMojoPythonShellTOMLYAML
Technical Skills
AI ApplicationsAI Model OptimizationBenchmarkingBuild System ConfigurationBuild ToolsCUDACode RefactoringCode SimplificationCustom OperationsCustom operation developmentDependency ManagementDocumentationGPU ComputingGPU ProgrammingGPU programming
Repositories Contributed To
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