Nikita Fedkin

Nikita Fedkin is a Solution Architect at Amazon Web Services (AWS) in Munich. He graduated from the Russian State University of Oil and Gas with a master’s degree in applied mathematics. Since his career began, Nikita utilised his academic knowledge to solve cutting-edge business problems.

He started as a Data Science developer more than 10 years ago. Afterwards, he moved to the compute infrastructure field, became a System Architect of distributed payment gateway system, and finally became Head of Infrastructure of an International Auction house. Now he shares his knowledge with the world as a Solutions Architect at Amazon Web Services.

MLOps from Idea to production with Amazon SageMaker

This session will provide an overview of the MLOps journey, from ideation to production, using Amazon SageMaker. Attendees will learn how SageMaker supports the full machine learning lifecycle, including data preparation, model training and tuning, and automated deployment and monitoring. The presentation will cover key MLOps capabilities in SageMaker like experiments, pipelines, and the model registry. Practical examples and real-world use cases will demonstrate how SageMaker enables teams to operationalize machine learning at scale.

Deep dive in to Generative AI security / Workshop with Fedor Pavlov
This session will provide a deep dive into securing and ensuring responsible development of generative AI applications. Attendees will learn about the key security threats facing generative AI models and applications, as well as best practices for building in security and compliance controls. The presentation will feature live demos and hands-on options to showcase how AWS services can be used to create secure and responsible generative AI solutions. Participants will leave with a practical understanding of the security considerations for deploying generative AI in a real-world setting.