Jamie Hall
Co-Founder at Lorikeet
Sydney, New South Wales, Australia
Summary
🤩
Rockstar🎓
Top SchoolJamie Hall is a Sydney-based co-founder and software engineer with 11 years of experience building ML-focused engineering solutions and startups. Holding a PhD from UNSW, Jamie blends deep research training with practical implementation, most recently co-founding Lorikeet to translate advanced ML into product impact. They are an active contributor to the popular Kaggle/docker-python image, adding and testing major data science libraries, caching Keras weights, and expanding support for PyTorch and fast.ai to improve reproducible ML environments. Jamie’s work shows a pragmatic focus on developer experience and reliability in ML tooling, plus a willingness to iterate and revert changes when needed—an indicator of disciplined engineering judgment.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at UNSW Australia
Github Skills (15)
scikit10
keras10
pytorch10
machine-learning10
xgboost10
tensorflow10
python10
scikit-learn10
dockers9
numpy9
pandas9
docker9
opencv6
bokeh5
seaborn5
Programming languages (10)
Github contributions (5)
Kaggle/docker-python
Oct 2015 - Mar 2018
Kaggle Python docker image
Role in this project:
ML Engineer
ML EngineerContributions:408 commits, 106 PRs, 382 pushes in 2 years 5 months
Contributions summary:Jamie primarily focused on enhancing the Kaggle Docker image by integrating and testing various machine learning and data science libraries. They added tests to ensure the compatibility and proper functioning of popular packages like NumPy, Pandas, Scikit-learn, XGBoost, Keras, TensorFlow, and others. The user also introduced code to cache Keras weights and made attempts to add and then revert the inclusion of Essentia, demonstrating a focus on providing a comprehensive environment for machine learning tasks. They also worked to add support for PyTorch and fast.ai.
kagglepython-docker
PhantomTrend/ptcode
Jan 2015 - Aug 2016
Contributions:167 pushes in 1 year 6 months
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