Kalyani Nikure
Software Engineer at Amazon Web Services
Seattle, Washington, United States
Summary
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RockstarKalyani Nikure is a Software Engineer based in Seattle with three years of experience focusing on cloud-native ML tooling and infrastructure. At AWS she contributes to the widely used Amazon SageMaker Python SDK, improving support for Graviton and Trainium instance types and resolving API and dependency security issues. She brings practical MLOps expertise by enabling PyTorch and TensorFlow workflows on newer hardware, bridging framework compatibility and production deployment. Known for meticulous dependency hygiene and platform-specific optimizations, she helps make ML model training and deployment more secure and performant at scale.
3 years of coding experience
Github Skills (10)
machine-learning10
mlops10
aws10
python10
sagemaker10
tensorflow9
pytorch9
airflow7
dockers7
docker7
Programming languages (4)
Github contributions (5)
aws/sagemaker-python-sdk
Oct 2022 - Nov 2022
A library for training and deploying machine learning models on Amazon SageMaker
Role in this project:
MLOps Engineer
MLOps EngineerContributions:1 release, 672 reviews, 7 commits in 1 month
Contributions summary:Kalyani primarily contributed to improving the Amazon SageMaker Python SDK, with commits focused on enhancing the support for different hardware platforms, including Graviton and Trainium instances. They addressed security vulnerabilities by updating dependencies, specifically Apache Airflow. Their work also involved fixing API errors related to model package creation and supporting PyTorch and TensorFlow frameworks on newer hardware.
pytorchsagemakerdeployingmxnetpython
knikure/sagemaker-python-sdk
Aug 2022 - Mar 2025
A library for training and deploying machine learning models on Amazon SageMaker
Contributions:83 reviews, 5 PRs, 430 pushes in 2 years 8 months
deployingsagemakeramazon-sagemakerdeploying-machine-learningamazon
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