google-ai-edge/LiteRT
Sep 2025 – Sep 2025
1 Month active
Languages Used
C++PythonXML
Technical Skills
AI/ML DeploymentBackend DevelopmentBuild SystemsC++Compiler DevelopmentEmbedded Systems
Amit Kumar
PROFILE
Amit Kumar
Kramit developed a production-ready Google Tensor backend for LiteRT’s Ahead-Of-Time compilation in the google-ai-edge/LiteRT repository. Leveraging C++ and Python, Kramit implemented build configurations, Python modules, and target definitions to support Google Tensor hardware, enabling AI Pack export and compiler flag integration for these targets. The work included robust environment configuration, introducing fail-safe backend initialization that halts registration if the required compiler library is missing, ensuring reliable deployment. This feature-rich integration addressed both build system complexity and deployment reliability, demonstrating depth in backend and compiler development while enhancing LiteRT’s support for embedded AI/ML workloads on Google Tensor platforms.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
714
Activity Months1
Your Network
4513 peopleSame Organization
@google.com4362
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Aahil MehtaMember
Work History
September 2025
4 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for google-ai-edge/LiteRT focusing on Google Tensor backend integration for LiteRT AOT. Delivered a production-ready backend pathway with build configurations, Python modules, and target definitions; added compiler flag support and AI Pack export capabilities for Google Tensor targets; implemented fail-safe initialization gating backed by environment configuration.
4 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for google-ai-edge/LiteRT focusing on Google Tensor backend integration for LiteRT AOT. Delivered a production-ready backend pathway with build configurations, Python modules, and target definitions; added compiler flag support and AI Pack export capabilities for Google Tensor targets; implemented fail-safe initialization gating backed by environment configuration.
September 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture85.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++PythonXML
Technical Skills
AI/ML DeploymentBackend DevelopmentBuild SystemsC++Compiler DevelopmentEmbedded SystemsEnvironment ConfigurationPythonTesting
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