A collection of works, big and small, over my career.
Projects
GitHub Models
Serving state of the art models in GitHub  foo Read More >
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Azure AI Studio SteelThread towards GA
Deliver consistency of key user scenarios for product GA  Read More >
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Federated Learning in AzureML
Ensure compliance of production machine learning pipelines  Enable production-ready Federated Learning (FL) within Azure Machine Learning to support privacy-preserving, multi-party model training. The goal was to empower internal and external partners—including three banks and one logistics company—to collaborate on machine learning without sharing raw data, using secure infrastructure and confidential compute. Read More >
 Enable production-ready Federated Learning (FL) within Azure Machine Learning to support privacy-preserving, multi-party model training. The goal was to empower internal and external partners—including three banks and one logistics company—to collaborate on machine learning without sharing raw data, using secure infrastructure and confidential compute. Read More >
Compliant AzureML
Ensure compliance of production machine learning pipelines  Modernize the ML training experience for internal data scientists by migrating legacy pipelines into a secure, scalable and compliant AzureML platform. The goal was to standardize workflows, improve reproducibility and lineage, and ensure traceability and governance across teams. Read More >
 Modernize the ML training experience for internal data scientists by migrating legacy pipelines into a secure, scalable and compliant AzureML platform. The goal was to standardize workflows, improve reproducibility and lineage, and ensure traceability and governance across teams. Read More >
TRENDS
EU funded research project, 2007-2010  Can image retrieval be used not for objective search, but for inspiration finding? Read More >
 Can image retrieval be used not for objective search, but for inspiration finding? Read More >