Ashwin Krishna
Software Developer II at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAshwin Krishna is a software developer with seven years of experience building cloud-native services and developer tooling, currently at AWS in Seattle. He has progressed through SDE roles at Amazon and AWS, contributing to production SDKs and ML tooling—most notably enhancements and testing for the widely used Amazon SageMaker Python SDK. His strengths include designing reliable API integrations, shipping unit-tested features, and documenting complex configurations that bridge ML workflows to cloud infrastructure. With a Master's in Computer Engineering from Texas A&M and early hands-on experience in networked systems at Extreme Networks and Cisco, he brings both systems-level rigor and practical product focus. Colleagues would describe him as a pragmatic engineer who pairs strong implementation skills with attention to developer experience.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (BE) Electronics and Communications, Bachelor of Engineering (BE) Electronics and Communications at B. M. S. College of EngineeringMaster's degree Computer Engineering, Master's degree Computer Engineering at Texas A&M University
Github Skills (7)
pytorch10
aws10
python10
sagemaker10
unit-test9
machine-learning8
tensorflow8
Programming languages (4)
Github contributions (5)
aws/sagemaker-python-sdk
May 2023 - Oct 2024
A library for training and deploying machine learning models on Amazon SageMaker
Role in this project:
ML Engineer
ML EngineerContributions:172 reviews, 71 PRs, 57 pushes in 1 year 5 months
Contributions summary:Ashwin primarily contributes to the development and testing of the SageMaker Python SDK. Their work focuses on enhancing the SDK's functionality, particularly around the configuration of API calls with features like resource keys and tags, and integrating profiler configurations. They are responsible for adding unit tests and making documentation changes, which demonstrate involvement across the development lifecycle. The user consistently demonstrates understanding of the SageMaker services and their integration within the SDK.
pytorchsagemakerdeployingmxnetpython
akrishna1995/sagemaker-python-sdk
Jun 2023 - Oct 2024
Contributions:85 pushes, 27 branches in 1 year 4 months
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