Lara Aydin is a Senior Software Engineer with nine years of experience building backend, DevOps, and compute platforms, currently focused on Compute & Machine Learning Platform at Roblox. She progressed through engineering roles at Zendesk where she improved observability, Kubernetes integrations, and testing for deployment systems. An active open-source contributor, she has extended language runtime features and hardened array behavior in the Goby project and contributed backend and metrics work to the popular Samson deployment tool. As an international graduate in Computer Science, Lara combines pragmatic engineering with a passion for learning and mentorship, and she is a vocal supporter of diversity, women’s and LGBTQ rights. Colleagues describe her as detail-oriented and curious, often surfacing subtle bug fixes and test cases that improve long-term reliability.
9 years of coding experience
4 years of employment as a software developer
B.S., Computer Science, B.S., Computer Science at University of Central Florida
Goby - Yet another programming language written in Go
Role in this project:
Back-end Developer
Contributions:6 commits, 2 PRs, 4 comments in 5 months
Contributions summary:Lara focused on extending the functionality of the Goby language, primarily within the `vm` directory. They implemented the `rand()` method, adding features for generating random numbers and safeguarding against incorrect input types. Furthermore, the user addressed a bug in the `Array.last` method, updating it to return nil for empty arrays. Finally, the user added new test cases, enhancing the test suite to include both the new rand() method and the array methods.
Web interface for deployments, with plugin architecture and kubernetes support
Role in this project:
Backend & DevOps Engineer
Contributions:17 reviews, 14 commits, 8 PRs in 4 months
Contributions summary:Lara made several contributions focused on improving the project's observability and integration with Kubernetes. This includes reporting job execution metrics with kubernetes context and incorporating relevant tags for accurate data analysis. The user also stubbed external service requests for periodical tasks related to Kubernetes and made a public method that will be externally used. Finally, the user made changes to the existing testing framework.
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