Igor Stranjanac is a highly motivated and performance driven ML engineer with a passion of turning data into valuable insights to make more efficient business decisions.

DataOps and MLOps are redefining the way AI & Machine Learning models are developed and deployed, enabling a smooth transition from prototypes to scalable, production-ready systems. This session will show how it is possible to harness Kubernetes to provide a seamless development environment for NLP researchers and engineers, with features like pipeline orchestration, automated scaling, and efficient resource management. The presentation will showcase a comprehensive system, utilizing tools such as Argo Workflows, Seldon, and MLflow, alongside infrastructure automation through Terraform and Flux, all deployed in an AWS-based cloud-native environment.