pytorch/executorch
Dec 2024 – Mar 2026
2 Months active
Languages Used
Python
Technical Skills
backend developmentdata processingnumpyPythonquantizationsoftware architecture
Sebastian Larsson
PROFILE
Sebastian Larsson
Sebastian Larsson contributed to the pytorch/executorch repository by focusing on backend reliability and maintainability, particularly for the Arm backend. He addressed a critical integer overflow in the quantized dequantization path by explicitly casting quantized values to int64, ensuring correct behavior across different numpy versions and reducing production risk. In addition, Sebastian refactored backend code to encapsulate internal APIs, privatizing methods and updating tests and documentation to align with the new structure. His work leveraged Python, backend development, and software architecture skills, resulting in a more robust, maintainable codebase with clearer boundaries and reduced risk of API misuse.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
1
Lines of code
244
Activity Months2
Your Network
832 peopleSame Organization
@arm.com497
Work History
March 2026
8 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for developer work focused on the pytorch/executorch repository (Arm backend). Delivered targeted backend encapsulation and private API cleanup to reduce public surface area, improve encapsulation, and mitigate misuse risks while enabling safer future enhancements. Major refactoring was paired with test/docs alignment to maintain stability and maintainability.
8 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for developer work focused on the pytorch/executorch repository (Arm backend). Delivered targeted backend encapsulation and private API cleanup to reduce public surface area, improve encapsulation, and mitigate misuse risks while enabling safer future enhancements. Major refactoring was paired with test/docs alignment to maintain stability and maintainability.
March 2026
December 2024
1 Commits
Dec 1, 2024December 2024 (2024-12) monthly summary for pytorch/executorch focused on reliability and correctness in the quantized path. Key accomplishment: fixed an integer overflow in dequantization by explicitly converting quantized values to int64 (Arm backend), ensuring correct behavior across numpy versions. This bug fix reduces production risk and improves cross-version stability for quantized inference. No new features were delivered this month; primary value came from stability, correctness, and maintainability improvements. Technologies demonstrated include careful integer-type handling, cross-version numpy compatibility, and Arm backend considerations, reinforced by the commit 80f1c1b8b0201a297caa1a968982699ed4aa61e2.
December 2024
1 Commits
Dec 1, 2024December 2024 (2024-12) monthly summary for pytorch/executorch focused on reliability and correctness in the quantized path. Key accomplishment: fixed an integer overflow in dequantization by explicitly converting quantized values to int64 (Arm backend), ensuring correct behavior across numpy versions. This bug fix reduces production risk and improves cross-version stability for quantized inference. No new features were delivered this month; primary value came from stability, correctness, and maintainability improvements. Technologies demonstrated include careful integer-type handling, cross-version numpy compatibility, and Arm backend considerations, reinforced by the commit 80f1c1b8b0201a297caa1a968982699ed4aa61e2.
Activity
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Quality Metrics
Correctness100.0%
Maintainability97.8%
Architecture97.8%
Performance97.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Pythonbackend developmentdata processingnumpyquantizationsoftware architecturetesting
Repositories Contributed To
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