dsu-cs/csc702_fall2025
Sep 2025 – Sep 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
Attention MechanismsData VisualizationDeep LearningDimensionality ReductionHugging Face TransformersMachine Learning
Komal More
PROFILE
Komal More
Komal More developed two core features for the dsu-cs/csc702_fall2025 repository, focusing on multilingual NLP visualization and production-ready summarization benchmarking. She built a cross-lingual word embedding visualization tool using Python and PyTorch, applying dimensionality reduction with PCA to compare English and Spanish terms, supporting research and localization decisions. Additionally, she implemented a benchmarking pipeline that evaluated a custom sequence-to-sequence model with attention mechanisms and SentencePiece tokenization against a pre-trained BART model on the CNN/DailyMail dataset. Her work emphasized modular code structure, reproducible evaluation protocols, and alignment with production needs, laying a solid foundation for future feature expansion and maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
6,041
Activity Months1
Your Network
20 people
Work History
September 2025
2 Commits • 2 Features
Sep 1, 2025Monthly work summary for September 2025 (dsu-cs/csc702_fall2025): Implemented key features with a focus on multilingual NLP visualization and production-ready summarization benchmarking, aligning research capabilities with production needs.
2 Commits • 2 Features
Sep 1, 2025Monthly work summary for September 2025 (dsu-cs/csc702_fall2025): Implemented key features with a focus on multilingual NLP visualization and production-ready summarization benchmarking, aligning research capabilities with production needs.
September 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Attention MechanismsData VisualizationDeep LearningDimensionality ReductionHugging Face TransformersMachine LearningNatural Language ProcessingPyTorchSentencePieceSequence-to-Sequence ModelsTransformers
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