dsu-cs/csc702_fall2025
Aug 2025 – Sep 2025
2 Months active
Languages Used
MarkdownPythonText
Technical Skills
CNNData PreprocessingDeep LearningHyperparameter OptimizationMLPMachine Learning
Jared Soundy
PROFILE
Jared Soundy
Jared Soundy developed foundational machine learning infrastructure for the dsu-cs/csc702_fall2025 repository over a two-month period. He built a modular hyperparameter optimization framework, establishing project scaffolding and core training pipelines for Fashion-MNIST and tabular datasets using Python, PyTorch, and Scikit-learn. His approach emphasized clean repository management and reproducible experiment structure, with command-line interface support for flexible experimentation. In the following month, Jared added initial word embedding sample vectors to enable semantic analysis and downstream NLP features, leveraging data engineering and natural language processing skills. His work demonstrated depth in both deep learning architecture and scalable data preprocessing design.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
10,482
Activity Months2
Your Network
20 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025In September 2025, delivered foundational NLP/ML capability for the CSC702 fall 2025 repository by adding initial word embedding sample vectors. This enables semantic analysis and understanding of word relationships, providing a scalable data scaffold for downstream NLP features and coursework analytics. There were no major bugs reported this month; effort focused on feature delivery, code quality, and traceability with a clear commit history.
1 Commits • 1 Features
Sep 1, 2025In September 2025, delivered foundational NLP/ML capability for the CSC702 fall 2025 repository by adding initial word embedding sample vectors. This enables semantic analysis and understanding of word relationships, providing a scalable data scaffold for downstream NLP features and coursework analytics. There were no major bugs reported this month; effort focused on feature delivery, code quality, and traceability with a clear commit history.
September 2025
August 2025
3 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08: Delivered foundational Hyperparameter Optimization (HP) framework for the dsu-cs/csc702_fall2025 project, establishing scaffolding, an hp_opt module, and core training/evaluation pipelines for Fashion-MNIST and tabular datasets, with CLI support.
August 2025
3 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08: Delivered foundational Hyperparameter Optimization (HP) framework for the dsu-cs/csc702_fall2025 project, establishing scaffolding, an hp_opt module, and core training/evaluation pipelines for Fashion-MNIST and tabular datasets, with CLI support.
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonText
Technical Skills
CNNData EngineeringData PreprocessingDeep LearningHyperparameter OptimizationMLPMachine LearningNatural Language ProcessingPyTorchRandom ForestRepository ManagementScikit-learnVersion Control
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