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Sebastian Moßburger

PROFILE

Sebastian Moßburger

Sebastian Markgraf contributed to microsoft/onnxscript, pytorch/rl, and apple/containerization by addressing core reliability and deployment challenges in machine learning workflows. He fixed a Slice operation bug in the ONNX Script Rewriter, updating the graph rewriting logic and adding targeted tests to ensure correct handling of non-unit step values. In pytorch/rl, he refactored LSTM hidden state initialization using PyTorch to prevent runtime faults, while in apple/containerization, he enhanced deployment security by enabling SSL TrustRoots configuration via environment variables in Swift. His work demonstrated depth in debugging, test-driven development, and cross-domain skills in containerization, networking, and deep learning systems.

Overall Statistics

Feature vs Bugs

33%Features

Repository Contributions

3Total
Bugs
2
Commits
3
Features
1
Lines of code
113
Activity Months2

Work History

December 2025

2 Commits • 1 Features

Dec 1, 2025

December 2025 monthly summary focusing on key business value and technical achievements across two repositories: pytorch/rl and apple/containerization. Key outcomes include stabilizing model execution in RL through a bug fix in LSTM initialization and strengthening deployment security/configurability via environment-driven SSL TrustRoots configuration. These efforts reduce runtime faults, improve deployment flexibility, and support safer, more scalable ML workflows.

August 2025

1 Commits

Aug 1, 2025

August 2025 monthly summary for microsoft/onnxscript: delivered a focused bug fix to the ONNX Script Rewriter related to Slice operation handling when step != 1. Added a reproduction test and updated the rewrite rule to skip non-unit steps, ensuring correct Slice handling across varying step values. This enhancement reduces the risk of incorrect rewrites in ONNX export paths and improves reliability for downstream models and tooling that rely on accurate Slice semantics. Demonstrates effective debugging, test-driven development, and collaboration within the ONNX scripting pipeline.

Activity

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Quality Metrics

Correctness80.0%
Maintainability73.4%
Architecture80.0%
Performance66.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonSwift

Technical Skills

ContainerizationGraph RewritingNetworkingONNX RuntimePyTorchRNNsSwiftTestingdeep learningmachine learning

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

microsoft/onnxscript

Aug 2025 Aug 2025
1 Month active

Languages Used

Python

Technical Skills

Graph RewritingONNX RuntimeTesting

pytorch/rl

Dec 2025 Dec 2025
1 Month active

Languages Used

Python

Technical Skills

PyTorchRNNsdeep learningmachine learning

apple/containerization

Dec 2025 Dec 2025
1 Month active

Languages Used

Swift

Technical Skills

ContainerizationNetworkingSwift