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Prerna Kumbhar

PROFILE

Prerna Kumbhar

Prerna Kumbhar developed and maintained build automation and deployment scripts for the ppc64le/build-scripts repository, focusing on compatibility and reproducibility for PyTorch and TorchVision across multiple environments. She implemented installation workflows using Python and Shell scripting, introduced Dockerfile-based containerization for Ubuntu 24.04, and managed dependency updates through CMake. Her work included upgrading build systems for new PyTorch releases, ensuring cross-distro support, and maintaining licensing compliance by removing commercial-license models from TorchVision. Prerna’s contributions improved build reliability, streamlined CI/CD integration, and reduced licensing risk, demonstrating depth in DevOps, dependency management, and machine learning model deployment for downstream users.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

5Total
Bugs
0
Commits
5
Features
4
Lines of code
6,198
Activity Months3

Your Network

995 people

Same Organization

@ibm.com
911

Shared Repositories

84

Work History

December 2025

1 Commits • 1 Features

Dec 1, 2025

December 2025 focused on licensing compliance and build-script maintenance for the ppc64le/build-scripts repository. Key actions included removing commercial-licensed models (RegNet and Vision Transformer) from TorchVision, updating the README, and excluding problematic files to ensure compliance. In parallel, the FFmpeg version handling was updated and a patch variable was added to streamline patching, improving build reproducibility.

November 2025

3 Commits • 2 Features

Nov 1, 2025

November 2025: Delivered core build-system upgrades and OS deployment enhancements for PyTorch/TorchVision on PPC64LE, improving compatibility, reproducibility, and time-to-value for customers and downstream integrators.

October 2025

1 Commits • 1 Features

Oct 1, 2025

2025-10 monthly summary for ppc64le/build-scripts: Delivered an Installation Build Script to ensure compatibility between Torchvision 0.22.1 and PyTorch 2.8.0, improving setup reliability and reproducibility for downstream projects.

Activity

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Quality Metrics

Correctness88.0%
Maintainability80.0%
Architecture88.0%
Performance84.0%
AI Usage24.0%

Skills & Technologies

Programming Languages

BashCMakeDockerfilePythonShell

Technical Skills

Build AutomationCMakeComputer VisionContainerizationContinuous IntegrationDeep LearningDependency managementDevOpsMachine LearningModel DeploymentPyTorchPython DevelopmentPython scriptingScriptingShell Scripting

Repositories Contributed To

1 repo

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

ppc64le/build-scripts

Oct 2025 Dec 2025
3 Months active

Languages Used

BashPythonCMakeDockerfileShell

Technical Skills

Build AutomationDevOpsPython DevelopmentScriptingCMakeContainerization