Ioan

Navigating the complexity of integrating advanced C++ features into PyTorch for Windows.

Upgrading C++

Tackling persistent CI challenges to elevate PyTorch's Windows experience. 

Windows CI Test Failures

Ensuring compatibility for devices running on the ARM-based processors under the Linux environment. 

Device Compatibility

Microsoft had a mission to expand PyTorch's reach to the .NET developer community.

.NET Integration Initiative

Transitioned PyTorch to leverage the latest advancements of C++17, supercharging performance and code efficiency.

C++17 Performance Optimization

Addressed multiple CI test failures, ensuring a more stable PyTorch experience for Windows developers.

Enhanced Stability for Windows

Enabled PyTorch's operation on ARM 64 architecture devices like Raspberry Pi and select mobile phones, minimizing cloud reliance.

ARM64 Architectural Harmony

Facilitated PyTorch's reach to the .NET developer community, expanding the user base and fostering wider adoption. 

Integration with .NET via TorchSharp

Having shown considerable expertise in maintaining some of the largest open source programs, such as react native and Microsoft PowerToys, Microsoft reached out to us to guarantee developers within the Windows ecosystem could utilize PyTorch to its fullest potential. This project is pivotal in future proofing the platform while fostering a collaborative, open source ecosystem. 

Learn about how Janea Systems Maintains the PyTorch Machine Learning Library on Windows. 

Expert Maintenance of PyTorch for Windows - Enhanced AI Development

Empowering Windows-Based AI Progress

Java

Senior Software Engineer

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Janea Systems is a software engineering consultancy, serving the enterprises that drive global innovation for over two decades. We help our clients build and optimize technologies used by millions of developers and billions of consumers. 

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