Shweta Singh
Product AI/ML Platform leader focused on developer experience
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442 connectionsSummary
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Education
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Writing
Streamline custom environment provisioning for Amazon SageMaker Studio: An automated CI/CD pipeline approach
January 23, 2025Explains an automated pipeline using CodePipeline/CodeBuild/ECR to build, scan, and attach SageMaker Studio custom Docker images to SageMaker domains for standardized environments.
aws.amazon.comAccelerate your ML lifecycle using the new and improved Amazon SageMaker Python SDK – Part 1: ModelTrainer
December 12, 2024Describes the ModelTrainer class that simplifies training jobs, script mode, local mode, and distributed training workflows in the redesigned SageMaker Python SDK.
aws.amazon.comAccelerate your ML lifecycle using the new and improved Amazon SageMaker Python SDK – Part 2: ModelBuilder
December 12, 2024Details improvements to the ModelBuilder class for unified inference interfaces, seamless transition from training to inference, local testing modes, and benchmarking support.
aws.amazon.comIntroducing SageMaker Core: A new object-oriented Python SDK for Amazon SageMaker
October 15, 2024Introduces SageMaker Core, an object-oriented Python SDK that provides resource chaining, intelligent defaults, and improved developer ergonomics for managing the ML lifecycle on SageMaker.
aws.amazon.comAccelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support
April 1, 2024Announces Local Mode and Docker support in SageMaker Studio to enable local training, debugging, and Docker image build/run inside Studio for faster iteration.
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