Back

Grig Duta

JFrog Solution Engineer

Grig Duta is a solution engineer with a strong focus on MLOps and LLMOps, leveraging his expertise to help organizations optimize their machine learning operations and large language model deployments. Drawing on his startup background, he works with organizations looking to move fast on ML deployment while keeping security and governance intact – finding the practical path between speed and control.

The Latest From Grig Duta

  • Secure and Productionize Databricks AI Models with the JFrog Platform
    | 10 min read

    It’s well-known that Databricks is a world-class platform for data engineering and ML experimentation. Yet, for most organizations, the challenge isn't building models; it's the complex journey from a model in a notebook to a secure, governed, and production-ready application. In this blog, we’ll show you how integrating the JFrog Platform with Databricks bridges that…

    Read More  

  • What is a Feature Store in ML, and Do I Need One?
    | 19 min read

    In essence, a feature store is a dedicated repository where features are methodically stored and arranged, primarily for training models by data scientists and facilitating predictions in applications equipped with trained models. It stands as a pivotal gathering point, where one can formulate or modify collections of features drawn from a variety of data sources.…

    Read More