Joe Barrow
Machine Learning NLP at Pattern Data
Alexandria, Virginia, United States
Summary
🤩
Rockstar🎓
Top SchoolJoe Barrow is an NLP-focused machine learning researcher and engineer with 12 years of experience, currently building ML products at Pattern Data after a Research Scientist role at Adobe. He holds a PhD in Computer Science from the University of Maryland and has a track record of turning cutting-edge research into applied systems, including implementing a BERT model and weight-conversion tooling within the MLX framework. His background spans industrial research and internships at Amazon and Microsoft, giving him experience across both experimental and production settings. Based in Alexandria, VA, he blends deep technical rigor with pragmatic engineering, often translating academic ideas into reusable open-source components.
12 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of MarylandBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of Virginia
English, German
Github Skills (6)
transformers10
machine-learning10
python10
bert10
numpy9
pytorch3
Programming languages (7)
Github contributions (5)
ml-explore/mlx-examples
Dec 2023 - Dec 2023
Examples in the MLX framework
Role in this project:
ML Engineer
ML EngineerContributions:9 reviews, 3 PRs, 21 comments in 15 days
Contributions summary:Joe implemented a BERT model within the MLX framework, including model architecture, embeddings, and a transformer encoder. They also created a conversion script to translate weights from Hugging Face's BERT implementation for use with the MLX model. Further contributions included cleaning up the implementation and updating the README.
mlx
jbarrow/allennlp_tutorial
Jul 2019 - Jul 2020
Tutorial on how to use AllenNLP for sequence modeling (including hierarchical LSTMs and CRF decoding)
Contributions:58 commits, 7 PRs, 55 pushes in 1 year
allennlpcrfsequence-modelingnlpdeep-learning
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