Harish Kulkarni is a software engineer with nine years of experience specializing in DevOps, SRE and backend systems, currently working on Microsoft Cloud for Healthcare as a Software Engineer II. He has strong hands-on experience in build/release automation and deployment at scale from roles at VMware, Mercedes‑Benz R&D, AB InBev and Nuance, bridging development and operations across agile and enterprise settings. An active open-source contributor, Harish enhanced ML.NET interoperability and ONNX export for multiple transformers and added gaze-tracking UI features to the Windows Community Toolkit, demonstrating both ML engineering and full‑stack instincts. He combines low-level build/test improvements with higher-level integration work, which has repeatedly smoothed project builds and releases. Based in India, he enjoys tackling new challenges and exploring emerging technologies, often finding opportunities to improve cross-project tooling and developer experience.
9 years of coding experience
11 years of employment as a software developer
Bachelor Of Engineering Electronics & Communication, Bachelor Of Engineering Electronics & Communication at KBN College Of Engineering, Visvesvaraya Technological University
Pre-Engineering, Pre-Engineering at N.V
SSLC Mathematics physic, SSLC Mathematics physic at St.Mary's high school gulbarga
ML.NET is an open source and cross-platform machine learning framework for .NET.
Role in this project:
Back-end Developer & MLOps Engineer
Contributions:5 releases, 94 reviews, 68 commits in 1 year 6 months
Contributions summary:Harish primarily contributed to the ML.NET framework, focusing on enhancing its functionality and improving its integration with external libraries. Their work included fixing bugs related to the KeyType and TensorFlow integration, such as upgrading versions and resolving build issues. Furthermore, the user implemented ONNX export functionalities for several transformers like LpNormNormalizingTransformer, PCATransformer, MissingValueIndicatorTransformer, WordTokenizingTransformer, NgramExtractingTransformer, KeyToValueMappingTransformer, several multiclass classifiers and others, thereby improving the framework's interoperability and deployment capabilities. They also made significant changes related to improving the project build, and the related tests.
The Windows Community Toolkit is a collection of helpers, extensions, and custom controls. It simplifies and demonstrates common developer tasks building .NET apps with UWP and the Windows App SDK / WinUI 3 for Windows 10 and Windows 11. The toolkit is part of the .NET Foundation.
Role in this project:
Full-stack Developer
Contributions:21 reviews, 63 commits, 45 PRs in 10 months
Contributions summary:Harish contributed significantly to the Windows Community Toolkit, focusing on the integration of gaze tracking libraries and expanding the existing UI and API features. The commits include the initial implementation of gaze-related input, followed by updates to include API definitions and resolving cursor offsets. The user was also responsible for developing a sample application for gaze interaction, demonstrating their involvement in both the core library and the application layer.
mvvmwindows-sdkc-sharpcustom-controlswindows-10
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