
Samin Bassiri developed a built-in cooccurrenceMatrix function for GloVe embeddings in the apache/systemds repository, focusing on efficient natural language processing workflows. He implemented integrated text cleaning, tokenization, and window-based co-occurrence weighting, enabling end-to-end computation of co-occurrence matrices for NLP tasks. The solution included matrix encoding and a dedicated unit test to ensure correctness and stability. Working primarily with DML and Java, Samin expanded SystemDS’s NLP capabilities, supporting more efficient GloVe embedding generation and potential performance improvements in matrix operations. His work demonstrated depth in data processing, machine learning, and software engineering within a complex open-source environment.

May 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: 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.
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