Guilherme Salazar is a Full Stack Developer with 11 years in technology, combining a Computer Science degree and a postgraduate Data Science study in progress. He builds production-ready microservices and APIs using .NET Core, C#, SQL Server/Oracle/MongoDB and applies Clean Architecture, DDD and automated testing in Azure DevOps pipelines. On the front end he crafts responsive React + TypeScript interfaces, and as a freelancer he delivered performance-focused WordPress e‑commerce and landing pages. He contributes to notable open-source projects around Kong and Kuma, improving CI/CD, build automation and service mesh deployment workflows—experience that complements his backend and DevOps skillset. Known for pragmatic engineering, he has reduced deploy times and increased test coverage at Squadra Digital while exploring AI projects like NLP chatbots and computer vision with YOLO. Based in Rio de Janeiro, he seeks full‑stack roles that value code quality and operational robustness.
11 years of coding experience
3 years of employment as a software developer
Postgraduate Degree, Data Science, Postgraduate Degree, Data Science at Descomplica
Contributions:8 releases, 54 reviews, 58 commits in 5 years 4 months
Contributions summary:Guilherme primarily focused on improving the CI/CD pipeline and automation for the `docker-kong` repository. Their contributions included migrating to GitHub Actions, updating build scripts for various platforms (alpine, rhel, ubuntu), and ensuring the automation correctly added minor versions and tags. The user also made adjustments to the build process, including updating download locations, migrating from Bintray, and bumping Kong versions, indicating a strong involvement in the project's build and release process.
Contributions:15 releases, 480 reviews, 323 commits in 5 years 5 months
Contributions summary:Guilherme's contributions primarily involve making improvements to the project's core functionality. They focused on version updates for dependencies and a bug fix for a DAO that properly serializes booleans. Additionally, they implemented a feature to add custom immutable items in the report buffer, improved handling for gRPC, and updated the codebase for the new multi-pluginservers implementation. Moreover, the user enhanced the existing CI/CD pipelines with Docker and Kubernetes implementations.
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