Senior Software Engineer at Lighthouse Asia Pacific
India
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Summary
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Rockstar
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Ashwin Kumar is a Senior Software Engineer with 8 years of experience turning complex requirements into simple, reliable systems. He has strong backend expertise demonstrated by contributions to high-impact open source projects such as Microsoft’s ONNX Runtime—adding mathematical operators and performance fixes—and to the Azure .NET SDK for Cognitive Services. His work emphasizes performance, stability and pragmatic testing, and he’s comfortable implementing low-level math ops as well as integrating threading improvements. Based in India, Ashwin blends enterprise experience at Microsoft and First American with continuous open-source involvement, reflecting a hands-on, problem-solver instinct that makes well-engineered solutions feel invisible.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Vidyavardhaka College of Engineering
This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/dotnet/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-net.
Role in this project:
Back-end Developer
Contributions:14 commits, 2 PRs, 4 comments in 4 months
Contributions summary:Ashwin primarily contributed to the development of the C# SDK and tests for the SpellCheck API, as evident in multiple commits. Their work included generating code, addressing review comments, and updating project files to integrate the new functionality. The commits demonstrate proficiency in working with the Cognitive Services SpellCheck API and the C# language.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Role in this project:
Back-end Developer
Contributions:5 commits, 11 PRs, 63 pushes in 27 days
Contributions summary:Ashwin contributed significantly to the core functionality of the ONNX Runtime project, primarily focusing on implementing and supporting new mathematical operations and related test cases. This involved adding implementations for hyperbolic functions (sinh, cosh, asinh, acosh, atanh) and addressing issues related to the MaxUnpool operator. Additionally, the user worked on integrating Eigen's thread pool for performance improvements and addressed a bug related to the Tile operator and zero repeats, showcasing a focus on the performance and stability of the library.
runtimetrainingtensorflowai-frameworkaccelerator
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Ashwin Kumar - Senior Software Engineer at Lighthouse Asia Pacific