atopile/atopile
Dec 2024 – Dec 2024
1 Month active
Languages Used
Python
Technical Skills
Bug FixingComponent Footprint MappingHardware DescriptionInterface DesignLibrary Development
Narayan Powderly
PROFILE
Narayan Powderly
Worked on the atopile/atopile repository to enhance the Faebryk library by introducing new module interfaces for Ethernet (4-pair), HDMI, and I2S, expanding the range of hardware components that can be accurately modeled and reused in electronic design automation. Addressed a key limitation in footprint pin-mapping by enabling support for multiple identical pads, improving the accuracy of component-to-footprint associations. Leveraged Python to implement these features, focusing on hardware description, interface design, and library development. The work delivered measurable improvements in design automation, reducing integration risk and supporting scalable reuse of hardware modules through more robust component modeling capabilities.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
107
Activity Months1
Your Network
12 peopleShared Repositories
12
Work History
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 (2024-12) monthly summary: Implemented foundational Faebryk enhancements to broaden component modeling capabilities and improve footprint accuracy, delivering measurable business value through faster design reuse and reduced risk. Key work included introducing Ethernet (4-pair), HDMI, and I2S module interfaces in Faebryk, and fixing footprint pin-mapping to support multiple matches for identical pads.
2 Commits • 1 Features
Dec 1, 2024December 2024 (2024-12) monthly summary: Implemented foundational Faebryk enhancements to broaden component modeling capabilities and improve footprint accuracy, delivering measurable business value through faster design reuse and reduced risk. Key work included introducing Ethernet (4-pair), HDMI, and I2S module interfaces in Faebryk, and fixing footprint pin-mapping to support multiple matches for identical pads.
December 2024
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Bug FixingComponent Footprint MappingHardware DescriptionInterface DesignLibrary Development
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