apache/systemds
May 2025 – May 2025
1 Month active
Languages Used
DMLJava
Technical Skills
Data ProcessingMachine LearningNatural Language ProcessingSoftware Engineering
Samin
PROFILE
Samin
In May 2025, Samin Bassiri developed a built-in cooccurrenceMatrix function for GloVe embeddings in the apache/systemds repository. This feature automated the end-to-end computation of co-occurrence matrices for natural language processing tasks, integrating text cleaning, tokenization, and window-based weighting directly into the workflow. Samin implemented the solution using DML and Java, ensuring efficient data processing and robust matrix encoding. A dedicated unit test was added to validate the correctness and stability of the computation path. This work expanded SystemDS’s NLP capabilities, enabling more efficient GloVe embedding workflows and laying groundwork for improved performance in matrix-based machine learning operations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
295
Activity Months1
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Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered a built-in cooccurrenceMatrix function for GloVe in the apache/systemds repository, enabling efficient generation of GloVe co-occurrence matrices with integrated NLP preprocessing (text cleaning, tokenization) and window-based weighting, plus matrix encoding and a validation test.
1 Commits • 1 Features
May 1, 2025May 2025: Delivered a built-in cooccurrenceMatrix function for GloVe in the apache/systemds repository, enabling efficient generation of GloVe co-occurrence matrices with integrated NLP preprocessing (text cleaning, tokenization) and window-based weighting, plus matrix encoding and a validation test.
May 2025
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
DMLJava
Technical Skills
Data ProcessingMachine LearningNatural Language ProcessingSoftware Engineering
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