Goku Mohandas

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.

Learn how to create reliable ML systems by testing code, data and models.

Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.

? Attentional interfaces in TensorFlow.

Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.