Work with Data Scientists to create ML models efficiently.

Design and develop infrastructure to run ML models.

Lead the refactoring effort to improve design and code coverage.

Create an engine to run ML models on different platforms.

Integrate a CI/CD process thus improving development efficiency.

Design and manage infrastructure to deploy services into cloud, on-prem.

Deploy and manage services on a Kubernetes cluster.

Mentor junior developers.

Working on testing tasks and documenting the process of API Management.

Managing the releases, builds and deployment.

Main Technologies used - Java, Scala, Dropwizard, AWS.