DataBytes-Organisation/Katabatic
Nov 2024 – Jan 2025
2 Months active
Languages Used
CSVPythonCSSHTMLJavaScript
Technical Skills
Data GenerationData PreprocessingData ScienceDeep LearningGenerative ModelsMachine Learning
Vidushi Vaidehi
PROFILE
Vidushi Vaidehi
Vidushi Vaidehi developed core features for the DataBytes-Organisation/Katabatic repository, focusing on both backend and frontend engineering over a two-month period. She implemented an end-to-end Masked Generative Model (MEG) workflow using Python and PyTorch, including data loading, preprocessing utilities, and a training adapter to support synthetic data experimentation in constrained environments. In addition, she established a Flask-based web interface with dynamic routing, HTML templates, and CSS styling to enable user interaction with multiple generative models. Her work provided a robust foundation for rapid experimentation, improved data coverage, and facilitated onboarding, demonstrating depth in both data science and web development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
11,336
Activity Months2
Your Network
18 people
Work History
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for DataBytes-Organisation/Katabatic. Focused on delivering the MEG Web App Core UI and Routing, establishing a Flask-based front-end for MEG projects with home, about, services, contact routes and per-model pages (Glanblr, CTGAN, MEG) plus dynamic model pages and initial HTML templates/CSS for a user-facing interface. No major bugs fixed in this scope during the month. Key commits contributing to this delivery include d7e75ee0140128e90db70ec1792652f651bd38dc (Vidushi_megapp) and c55d40efb9bbf42146a12d77975a97f92404d931 (FEAT: MEG Implementation).
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for DataBytes-Organisation/Katabatic. Focused on delivering the MEG Web App Core UI and Routing, establishing a Flask-based front-end for MEG projects with home, about, services, contact routes and per-model pages (Glanblr, CTGAN, MEG) plus dynamic model pages and initial HTML templates/CSS for a user-facing interface. No major bugs fixed in this scope during the month. Key commits contributing to this delivery include d7e75ee0140128e90db70ec1792652f651bd38dc (Vidushi_megapp) and c55d40efb9bbf42146a12d77975a97f92404d931 (FEAT: MEG Implementation).
January 2025
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 (2024-11) performance summary for DataBytes-Organisation/Katabatic. Focused on delivering an end-to-end Masked Generative Model (MEG) workflow and preparing Katabatic for synthetic data experimentation. No major bugs reported this month; minor issues encountered during MEG integration were resolved. The work lays a solid foundation for rapid experimentation, data augmentation, and safer model testing in data-constrained environments.
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 (2024-11) performance summary for DataBytes-Organisation/Katabatic. Focused on delivering an end-to-end Masked Generative Model (MEG) workflow and preparing Katabatic for synthetic data experimentation. No major bugs reported this month; minor issues encountered during MEG integration were resolved. The work lays a solid foundation for rapid experimentation, data augmentation, and safer model testing in data-constrained environments.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance65.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSCSVHTMLJavaScriptPython
Technical Skills
Backend DevelopmentCSS StylingData GenerationData PreprocessingData ScienceDeep LearningFlaskFrontend DevelopmentGenerative ModelsMachine LearningModel TrainingPyTorchWeb Development
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