Session: Building Gen AI workloads with AWS Serverless compute
Building Generative AI (Gen AI) workloads with AWS Serverless compute involves leveraging serverless technologies to efficiently deploy, scale, and manage AI models and applications. AWS offers a range of serverless compute services, such as AWS Lambda, AWS Fargate, and Amazon SageMaker, that can power the processing and orchestration needs of AI workloads without the need for managing the underlying infrastructure.
Bio
I came to United States from India for pursuing my Masters in Computer Science at University of Cincinnati. Thereafter, I worked as a Software Engineer at Statefarm Insurance, Application Development Specialist at American Family Insurance and currently working as Cloud Native Applications Architect at Amazon Web Services. Specializing in AWS services, I focus on building serverless architectures, containerized environments, and optimizing cloud infrastructures for high-performance workloads. As an AI/ML enthusiast, I thrive on integrating machine learning and generative AI technologies into modern applications, driving innovation and efficiency. With a deep interest in automation, I am committed to leveraging cloud-native tools to enhance business solutions and streamline processes, ensuring optimal performance and scalability in dynamic environments.