sillsdev/silnlp
Dec 2024 – Oct 2025
2 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
AWS S3ClearMLData ScienceDeep LearningHugging Face TransformersLLM
Laura Burdick
PROFILE
Laura Burdick
Laura Burdick contributed to the sillsdev/silnlp repository by refactoring the large language model training and inference pipeline to support multilingual experiments, focusing on resource efficiency and security through credential separation. She implemented core components for data preprocessing, model loading, training, and evaluation, using Python and Hugging Face Transformers to enable scalable, maintainable workflows. In a subsequent feature, Laura introduced verse-level segment metrics such as m-bleu and m-chrf3, enhancing the granularity of machine translation evaluation. Her work demonstrated depth in both infrastructure and evaluation, laying a foundation for robust multilingual NLP experimentation and more accurate model assessment within the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
5,460
Activity Months2
Your Network
59 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for sillsdev/silnlp: Implemented verse-level segment metrics in scoring, introducing m-bleu, m-chrf3, m-chrf3+, and m-chrf3++ to the default experiment scoring options, with computation performed at the verse level rather than the sentence level in alignment with recent research. The change enhances evaluation granularity for verse-level quality and informs model selection and tuning.
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for sillsdev/silnlp: Implemented verse-level segment metrics in scoring, introducing m-bleu, m-chrf3, m-chrf3+, and m-chrf3++ to the default experiment scoring options, with computation performed at the verse level rather than the sentence level in alignment with recent research. The change enhances evaluation granularity for verse-level quality and informs model selection and tuning.
October 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for sillsdev/silnlp: Delivered a major refactor of the LLM training and inference pipeline with multilingual support, improved resource utilization, and security enhancements. Implemented data preprocessing, model loading, training, and evaluation components; separated credentials; added maintainability comments. This work lays groundwork for scalable experiments and reduces pipeline friction for multilingual deployments.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for sillsdev/silnlp: Delivered a major refactor of the LLM training and inference pipeline with multilingual support, improved resource utilization, and security enhancements. Implemented data preprocessing, model loading, training, and evaluation components; separated credentials; added maintainability comments. This work lays groundwork for scalable experiments and reduces pipeline friction for multilingual deployments.
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
AWS S3ClearMLData ScienceDeep LearningHugging Face TransformersLLMMachine LearningMachine Translation EvaluationNatural Language ProcessingPythonPython DevelopmentUnsloth
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline