modular/modular
Feb 2026 – Mar 2026
2 Months active
Languages Used
MojoPython
Technical Skills
CPU ProgrammingCPU programmingDeep LearningGPU ProgrammingGPU programmingKernel Development
Evan Owen
PROFILE
Evan Owen
Over a two-month period, contributed to the modular/modular repository by developing advanced state-space kernels and integrating Mamba architectures for scalable language model pipelines. Built CPU and GPU kernels for causal 1D convolution and selective scan operations, supporting variable-length and channel-flexible processing with comprehensive test coverage. Enhanced autoregressive decoding by implementing stateful convolution updates compatible with functional graph semantics, enabling efficient incremental inference. Integrated the Mamba Selective State Space Model into production pipelines, including model configuration, tokenizer, and SSM cache. Leveraged Python and Mojo for kernel development, deep learning, and numerical optimization, focusing on robust, production-ready features and seamless pipeline integration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
5
Lines of code
26,046
Activity Months2
Your Network
148 peopleShared Repositories
148
Work History
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026 (2026-03) monthly summary for modular/modular focusing on business value and technical achievements. Key work centered on advancing autoregressive decoding compatibility and stateful model integration within pipeline ecosystems, enabling more capable language models and efficient deployment through functional-graph aware kernels and SSM-based architectures.
2 Commits • 2 Features
Mar 1, 2026March 2026 (2026-03) monthly summary for modular/modular focusing on business value and technical achievements. Key work centered on advancing autoregressive decoding compatibility and stateful model integration within pipeline ecosystems, enabling more capable language models and efficient deployment through functional-graph aware kernels and SSM-based architectures.
March 2026
February 2026
4 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for modular/modular. Delivered a robust suite of Mamba state-space kernels with cross-CPU/GPU support, variable-length processing, and graph integration capabilities. Strengthened test coverage and CI validation, enabling scalable, production-ready features for long/sequenced data and more efficient model blocks.
February 2026
4 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for modular/modular. Delivered a robust suite of Mamba state-space kernels with cross-CPU/GPU support, variable-length processing, and graph integration capabilities. Strengthened test coverage and CI validation, enabling scalable, production-ready features for long/sequenced data and more efficient model blocks.
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
MojoPython
Technical Skills
CPU ProgrammingCPU programmingDeep LearningGPU ProgrammingGPU programmingKernel DevelopmentKernel developmentMachine LearningMachine learningMachine learning architectureModel ArchitectureNumerical optimizationPython Development
Repositories Contributed To
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