Breland Miley is an infrastructure-focused software engineer with 13 years of experience building and shipping cloud-native systems at AWS, Netflix, and now OpenAI. He combines deep hands-on experience with IaC and platform work—contributing to the AWS CDK and improving S3, Lambda, and CloudFront integrations—with practical API and backend development for consumer projects like a popular Roomba control SDK. Based in San Francisco, he has a track record of turning operational insight into durable developer-facing abstractions and has repeatedly fixed tricky build and integration issues in widely used open-source projects. Outside work he tinkers with home automation, bringing that curiosity to production problems and pragmatic debugging.
13 years of coding experience
18 years of employment as a software developer
Bachelor of Science (B.S.) Computer Engineering, Bachelor of Science (B.S.) Computer Engineering at University of South Carolina
The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
Role in this project:
Cloud Engineer / Infrastructure Engineer
Contributions:34 commits, 5 PRs, 2 pushes in 2 months
Contributions summary:Breland made several contributions related to the AWS Cloud Development Kit (CDK) framework. They implemented improvements to existing resources such as S3 buckets and Lambda functions by exposing additional properties and adding initial policy statements. The user also added an L2 CloudFront resource, expanding the capabilities of the CDK within this repository. Furthermore, they fixed build issues and addressed CloudFront origin errors.
Unofficial iRobot Roomba and Braava (i7/i7+, 980, 960, 900, e5, 690, 675, m6, etc) node.js library (SDK) to control your robot
Role in this project:
Back-end Developer & API Developer
Contributions:7 commits, 1 PR, 5 comments in 4 months
Contributions summary:Breland focused on enhancing the backend API functionality of the Roomba/Braava control library. They added the capability to pass additional arguments, specifically "rooms," to the start command, enabling more precise cleaning control. Furthermore, they fixed an assignment issue and implemented logging for debugging purposes within the API call functions. The user also implemented a new method `cleanRoom` and included documentation.
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Breland Miley - Member Of Technical Staff at OpenAI