apache/singa
Nov 2024 – Mar 2025
2 Months active
Languages Used
PythonShell
Technical Skills
Data LoadingDataset ManagementImage PreprocessingMachine LearningShell ScriptingData Modeling
Zhu Lei
PROFILE
Zhu Lei
Zhu Lin worked on the apache/singa repository, focusing on healthcare and predictive analytics features over a two-month period. They integrated the BloodMNIST dataset into the model zoo, implementing data loading, preprocessing, and batching pipelines in Python and Shell to support reproducible experimentation. Zhu also developed a shell-based workflow for malaria detection, including licensing compliance and end-to-end training commands. In a separate project phase, they built a Multi-Layer Perceptron for diabetic readmission prediction, using synthetic data and standard deep learning components such as linear layers, ReLU, and SoftMax cross-entropy loss. The work demonstrated solid data modeling and machine learning skills.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
407
Activity Months2
Your Network
15 peopleSame Organization
@ihpc.a-star.edu.sg1
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 focused on delivering project-level AI features in the apache/singa repo. Notable feature delivered: Diabetic Readmission Prediction with MLP using SINGA. Basic training loop with synthetic data and optimization setup; linear layers, ReLU, SoftMax cross-entropy loss. No major bugs fixed this month. Positive business impact: enables predictive analytics for diabetic patient readmission, paving the way for hospital cost optimization and better care management.
1 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 focused on delivering project-level AI features in the apache/singa repo. Notable feature delivered: Diabetic Readmission Prediction with MLP using SINGA. Basic training loop with synthetic data and optimization setup; linear layers, ReLU, SoftMax cross-entropy loss. No major bugs fixed this month. Positive business impact: enables predictive analytics for diabetic patient readmission, paving the way for hospital cost optimization and better care management.
March 2025
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024: Delivered BloodMNIST integration into the healthcare model zoo (data loading, preprocessing, batching) and added a malaria-detection workflow script to run the healthcare application. These changes broaden dataset support, enable end-to-end experimentation, and enhance reproducibility and licensing compliance in the model zoo. Traceable via two commits: 572f3d2dc06568756a84782577edda9144456edd and d8d0be14454228e83071a6f0e6a030081e7e8d1d.
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024: Delivered BloodMNIST integration into the healthcare model zoo (data loading, preprocessing, batching) and added a malaria-detection workflow script to run the healthcare application. These changes broaden dataset support, enable end-to-end experimentation, and enhance reproducibility and licensing compliance in the model zoo. Traceable via two commits: 572f3d2dc06568756a84782577edda9144456edd and d8d0be14454228e83071a6f0e6a030081e7e8d1d.
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShell
Technical Skills
Data LoadingData ModelingDataset ManagementDeep LearningImage PreprocessingMachine LearningNeural NetworksShell Scripting
Repositories Contributed To
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