quic/aimet
Dec 2024 – Feb 2025
2 Months active
Languages Used
PythonC++CMake
Technical Skills
Backend DevelopmentKerasMachine LearningONNXPyTorchQuantization
Chetan Gulecha
PROFILE
Chetan Gulecha
Worked on the quic/aimet repository over two months, focusing on backend development and codebase refinement using Python, C++, and CMake. Delivered robust quantization features for TensorFlow Keras and ONNX workflows by refactoring quantizer initialization logic and improving input data type handling, which enhanced precision and reliability. Addressed ONNX convolution padding validation and improved multi-input export robustness by ensuring distinct input encodings. In a subsequent phase, removed the deprecated Operation Definition XML parser and related dependencies from both C++ and Python components, reducing technical debt and simplifying the build system to support future development and streamline maintenance for the repository.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
1,487
Activity Months2
Your Network
232 peopleShared Repositories
47
Khobare, AbhijitMember
Mukherjee, AnanyaMember
Kumar, AshvinMember
Sonawane, BhushanMember
Xu, BozheMember
Yuan, ChaoMember
Dinh, Dao Lan VyMember
Gajula, Sai ChaitanyaMember
Mehta, HitarthMember
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered a major codebase cleanup in quic/aimet by removing the deprecated Operation Definition (opdef) XML parser and its dependencies from both C++ and Python components. This included deleting related files and simplifying the codebase, reducing maintenance burden and potential regression surfaces. The work lays a cleaner foundation for future refactoring and feature work, improves build stability, and aligns the repository with the current architecture. No new user-facing features were introduced this month; the focus was on reducing technical debt and strengthening developer productivity.
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered a major codebase cleanup in quic/aimet by removing the deprecated Operation Definition (opdef) XML parser and its dependencies from both C++ and Python components. This included deleting related files and simplifying the codebase, reducing maintenance burden and potential regression surfaces. The work lays a cleaner foundation for future refactoring and feature work, improves build stability, and aligns the repository with the current architecture. No new user-facing features were introduced this month; the focus was on reducing technical debt and strengthening developer productivity.
February 2025
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 progress highlights for the quic/aimet repository focused on strengthening quantization reliability and export robustness across TensorFlow Keras and ONNX workflows. Key features delivered and bugs fixed include:
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 progress highlights for the quic/aimet repository focused on strengthening quantization reliability and export robustness across TensorFlow Keras and ONNX workflows. Key features delivered and bugs fixed include:
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture85.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakePython
Technical Skills
Backend DevelopmentBuild System ConfigurationCode RefactoringDependency ManagementKerasMachine LearningONNXPyTorchQuantizationTensorFlow
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