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piyush104

PROFILE

Piyush104

Piyush Mishra developed a diffusion-model–based text-to-image generation capability for the dsu-cs/csc702_fall2025 repository, focusing on efficient and reproducible experimentation. Using Python and Jupyter Notebooks, Piyush implemented the core image generation workflow, integrating deep learning and image processing techniques to translate text prompts into images. Alongside building this feature, Piyush addressed project hygiene by restructuring files and removing redundant notebooks, which improved stability and reproducibility. The work demonstrated a strong grasp of AI development and notebook management, with careful attention to code organization and version control. Overall, the contributions reflect thoughtful engineering and depth in applied machine learning practices.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

5Total
Bugs
1
Commits
5
Features
1
Lines of code
9
Activity Months1

Your Network

20 people

Work History

November 2025

5 Commits • 1 Features

Nov 1, 2025

November 2025 – dsu-cs/csc702_fall2025: Delivered diffusion-model–driven text-to-image capability and improved project hygiene to enhance reproducibility and velocity of experimentation.

Activity

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Quality Metrics

Correctness100.0%
Maintainability96.0%
Architecture100.0%
Performance96.0%
AI Usage48.0%

Skills & Technologies

Programming Languages

Jupyter NotebookPython

Technical Skills

AI DevelopmentData ScienceDeep LearningImage ProcessingJupyter NotebooksMachine Learningdata sciencemachine learningnotebook management

Repositories Contributed To

1 repo

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

dsu-cs/csc702_fall2025

Nov 2025 Nov 2025
1 Month active

Languages Used

Jupyter NotebookPython

Technical Skills

AI DevelopmentData ScienceDeep LearningImage ProcessingJupyter NotebooksMachine Learning