Sebastian Borza is a Python developer with 11 years of hands-on experience building backend systems, serverless architectures, and developer tooling from Chicago. He brings multi-language fluency in Go, C, and Python, contributing across full-stack boundaries—from InfluxDB backend and UI improvements to serverless Go functions integrating Kinesis and Elasticsearch. His open-source work shows a mix of systems-level rigor and quality focus: improving storage and task backends, adding UI/CLI features, and hardening test suites for the Exercism Go track. Comfortable in cloud and DevOps contexts, he automates builds and config for AWS and GCP serverless deployments. Colleagues can expect a pragmatic engineer who navigates both performance-sensitive data paths and developer-facing tooling. An interesting detail: he pairs backend refactors with frontend/CLI polish, demonstrating rare cross-cutting ownership in large OSS projects.
Contributions:10 commits, 11 PRs, 2 pushes in 1 year 6 months
Contributions summary:Sebastian primarily focused on enhancing the test suite for the Exercism Go track. Their contributions included adding and updating benchmark tests for exercises like protein translation and hello-world, including detailed benchmark implementations. The user also updated test cases within the bob exercise to reflect more inclusive language, demonstrating a focus on quality, correctness, and clarity within the testing framework of the repository.
Serverless Examples – A collection of boilerplates and examples of serverless architectures built with the Serverless Framework on AWS Lambda, Microsoft Azure, Google Cloud Functions, and more.
Role in this project:
Back-end & Cloud Engineer
Contributions:32 commits, 11 PRs, 2 pushes in 5 months
Contributions summary:Sebastian contributed to multiple examples, focusing on serverless architectures. They implemented and updated Go-based serverless functions for AWS Lambda and Google Cloud Functions. Their work involved integrating with AWS Kinesis for data streaming to Elasticsearch, including code for data processing and bulk indexing. They also made changes to the build process and configuration, demonstrating DevOps skills in the context of serverless applications.
serverlessaws-lambdagoogle-cloudawsmicrosoft
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