Senior Research Programmer at University of Waikato
Waikato, New Zealand
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Summary
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Senior
Peter Reutemann is a Senior Research Programmer with 13 years of experience building open-source machine learning and workflow solutions from Waikato, New Zealand. He leads development of the ADAMS workflow engine and contributes to prominent projects like MOA, combining Java and Python expertise to deliver local, in-house deployments that avoid vendor lock-in and respect data sovereignty. His work spans applied deep learning (image classification, object detection, segmentation, and LLMs), spectral data analysis (NIR, MIR, XRF, hyperspectral) and domain-specific pipelines such as GC-MS processing. A pragmatic engineer and open-source advocate, he also authors scientific workflow plugins (KeplerWeka), runs the COSI portal, and reviews for JMLR/MLOSS—bringing academic rigor to production-ready tooling.
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Role in this project:
Full-stack Developer
Contributions:1 release, 129 commits, 2 PRs in 10 years 5 months
Contributions summary:Peter primarily contributed to the MOA framework's documentation and user interface. Their work includes creating and modifying LaTeX-based manuals, updating the title page, and renaming image directories. They also added a new manual for the StreamMining component. In addition, the user made Java 9 compliant changes.
Contributions:1 release, 48 commits, 63 pushes in 2 years 11 months
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Peter Reutemann - Senior Research Programmer at University of Waikato