Sai Akula

Engineering Lead at Amazon Web Services (AWS)

Palo Alto, California, United States
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Summary

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Rockstar
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Top School
Sai Akula is an engineering lead at AWS based in Palo Alto who builds AI infrastructure at scale, currently driving SageMaker Hyperpod and large-scale training and inference platforms. With four years in cloud and ML-focused roles at AWS and a decade-plus background across full-stack and systems engineering, he blends distributed systems design, DevOps, and performance optimization to deliver resilient, high-throughput services. He’s contributed to notable open-source projects such as the Amazon ECS agent—adding gMSA support and automation around credentials fetching—highlighting a knack for bridging low-level integration work with cloud-native deployment. Comfortable across C#, .NET, AWS services, and container ecosystems, Sai pairs hands-on coding with leadership in production-first architectures that handle bursty, real-world traffic.
code4 years of coding experience
job8 years of employment as a software developer
bookBachelor’s Degree Electrical Electronics and Communications Engineering, Bachelor’s Degree Electrical Electronics and Communications Engineering at Jb Institute Of Engineering and Technology
bookMaster’s Degree Electrical Engineering, Master’s Degree Electrical Engineering at University of Arkansas
languagesEnglish, Hindi, Telugu
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Github Skills (9)

automation10
docker10
automations10
go10
agent10
aws10
dockers10
linux9
grpc8

Programming languages (5)

C#TypeScriptC++CGo

Github contributions (5)

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aws/amazon-ecs-agent

Oct 2022 - Nov 2022

Amazon Elastic Container Service Agent
Role in this project:
userDevOps Engineer
Contributions:124 reviews, 12 commits, 35 PRs in 1 month
Contributions summary:Sai's commits primarily focus on integrating the agent with a credentials-fetcher daemon to support gMSA on Linux. They modified ecs-init and the agent code to communicate with the credentials-fetcher, specifically for advertising gMSA capabilities. Furthermore, changes to the docker configuration and related test code suggest a focus on automating deployments and configuration.
service-containeramazon-ec2agentelasticamazon
Amazon Elastic Container Service Agent
Contributions:153 pushes, 14 branches in 1 year 3 months
service-containeragentelasticamazondocker
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