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Senior Principal Software Engineer

Audrey Reznik

Audrey Reznik has been in the IT industry (private and public sectors) for 27 years in multiple verticals.  In the last 4 years, she worked as a Data Scientist at ExxonMobil where she created a Data Science Enablement team to help data scientists easily deploy ML models in a Hybrid Cloud environment.  Audrey was instrumental in educating scientists about what the OpenShift platform was and how to use OpenShift containers (images) to organize, run, and visualize data analysis results. Audrey now works as a Data Scientist with the Red Hat OpenShift Data Science Team where she is focused on next-generation applications. She is passionate about Data Science and in particular the current opportunities with ML and Federated Data.

Audrey Reznik's contributions

Featured image for: Machine learning with Jupyter notebooks.
Article

Perform inference using Intel OpenVINO Model Server on OpenShift

Audrey Reznik +2

In this article, you will learn how to perform inference on JPEG images using the gRPC API in OpenVINO Model Server in OpenShift. Model servers play an important role in smoothly bringing models from development to production. Models are served via network endpoints which expose an APIs to run predictions.

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Article

More machine learning with OpenShift Data Science

Audrey Reznik

Solve the typical data science problems of accessing Amazon S3 data and creating a TensorFlow model by following two new OpenShift Data Science learning paths.

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Article

Building machine learning models in the cloud

Audrey Reznik

Get hands-on resources for building machine learning models using Red Hat OpenShift Data Science. Learn how to use NLP, Jupyter notebooks, and more.