helen ngo
Research Engineer at NVIDIA
New York, New York, United States
Summary
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RockstarHelen Ngo is a research engineer at NVIDIA based in New York with eight years of practical experience delivering ML infrastructure and evaluation tooling. She contributes to high-impact open-source projects such as Hugging Face’s evaluate library, where she improved core evaluation modules, cache fingerprinting, and data loading to make model assessment more reliable and user-friendly. Helen blends research-minded rigor with production engineering, focusing on refactoring and documentation to boost maintainability and adoption. Her background implies a knack for translating experimental ideas into robust pipelines that scale across datasets and models.
8 years of coding experience
Github Skills (8)
machine-learning10
python10
evaluation10
transformers9
datasets8
data-pipeline8
data-pipelines8
testing7
Programming languages (6)
Github contributions (5)
huggingface/evaluate
Jul 2022 - Dec 2022
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Role in this project:
ML Engineer
ML EngineerContributions:81 reviews, 61 commits, 35 PRs in 4 months
Contributions summary:Helen primarily contributed to the `evaluate` library, which focuses on evaluating machine learning models and datasets. Their work involved adding and modifying code related to the core evaluation module, including adding fingerprints for cache management and handling data loading. They also refactored code to improve functionality and fixed docstrings, demonstrating expertise in improving the library's features and usability. The user made various improvements in the evaluation framework.
evaluateevaluation-frameworkdata-scienceevaluationmachine-learning
mathemakitten/mathemakitten
Jul 2020 - Dec 2024
Contributions:20 pushes, 1 branch in 4 years 6 months
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