Suraj Kota
Senior Software Development Engineer at Amazon Web Services (AWS)
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSuraj Kota is a Senior Software Development Engineer with nine years of experience specializing in MLOps, Kubernetes, and AWS services, currently building production-ready ML integrations at Amazon Web Services in San Francisco. He blends backend and automation expertise with hands-on contributions to high-profile open-source projects like Kubeflow Pipelines and the AWS Controllers for Kubernetes, improving SageMaker integration, test coverage, and ACK code generation robustness. His work spans infrastructure-to-application concerns—adding resilient retry and cleanup logic, handling nil responses in generated code, and enhancing Helm deployments for real-world AWS workloads. Comfortable across distributed systems, data engineering, and ML deployment pipelines, he brings both deep systems thinking and practical automation to complex cloud problems. A persistent tinkerer, Suraj’s early research and automation background (from legal-domain knowledge bases to HPE virtualization tooling) informs a pragmatic approach to reproducible, region-independent testing and scalable deployments.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at National Institute of Technology RaipurMaster’s Degree Computer Science, Master’s Degree Computer Science at University of Florida
Github Skills (24)
kubernetes10
boto10
python10
testing10
kubeflow10
machine-learning10
cloud-infrastructure10
kubectl10
go-testing10
sagemaker10
automation10
code-generation10
go10
mlops10
aws10
Programming languages (11)
Github contributions (5)
kubeflow/pipelines
Apr 2020 - Aug 2022
Machine Learning Pipelines for Kubeflow
Role in this project:
MLOps Engineer
MLOps EngineerContributions:132 reviews, 15 commits, 25 PRs in 2 years 4 months
Contributions summary:Suraj contributed to the integration and testing of AWS SageMaker components within the Kubeflow Pipelines framework. Their work involved adding user agent headers to the boto3 client, fetching component versions, and writing integration tests for SageMaker components like training jobs and endpoints. The user's changes spanned multiple files related to AWS SageMaker integration, including test configurations, utility functions, and component definitions. These contributions improved the robustness and test coverage for SageMaker-related pipelines.
pipelinetektondata-sciencemachine-learningmlops
aws-controllers-k8s/community
Nov 2020 - Jan 2023
AWS Controllers for Kubernetes (ACK) is a project enabling you to manage AWS services from Kubernetes
Role in this project:Back-end & Test Automation Engineer
Back-end & Test Automation EngineerContributions:60 reviews, 14 commits, 17 PRs in 2 years 2 months
Contributions summary:Suraj contributed to the development of tests for the SageMaker model resource within the AWS Controllers for Kubernetes (ACK) project. Their work included creating S3 buckets and IAM roles, making tests region-independent, and adding assertions for Kubernetes resource status. They also incorporated retry logic to improve test stability and implemented cleanup procedures. The user's contributions focused on ensuring the reliability and functionality of the SageMaker model controller.
controllersaws-servicesackkubernetesaws
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