21 • Cloud Engineering • DevOps • Software Architecture (in progress) • AI-first Web (Google Gemini)

github.com/rj-vulgo22

I’m Matheus Moraes, 21, focused on building and improving web solutions with strong foundations in infrastructure, delivery, and operations. I’m actively deepening my skills in Cloud Engineering, DevOps, and Software Architecture—related areas, but not the same thing:

• Cloud Engineering: cloud services, scalability, security, and cost efficiency
• DevOps: automation, CI/CD, reliability, and practices that improve delivery and operations
• Software Architecture: system design, integrations, patterns, and technical trade-offs

I work in an AI-first way. AI is my copilot; I use it heavily to accelerate development. I still own the engineering responsibility end-to-end: defining goals, setting constraints, guiding implementation, testing, validating, and shipping.

I have hands-on experience using Google’s Gemini to support web development and automation, including:

• solution and architecture prototyping
• generating and reviewing code and configuration
• agent-style workflows to reduce repetitive work
• documentation, testing support, and troubleshooting acceleration

Important: I use AI intensively, but I do not outsource accountability. I decide the direction, verify outcomes, and ensure quality.

Infrastructure and delivery

• automation and project standardization
• CI/CD pipelines and more predictable releases
• infrastructure as code (IaC) and repeatable provisioning
• observability (logs, metrics, alerting) for stable operations

Web

• Frontend with Angular (TypeScript)
• Backend behavior and integrations defined per project needs (APIs, authentication, data, services), with focus on maintainability, security, and performance

• strengthening fundamentals in cloud and operations
• improving system design skills (architecture trade-offs, scalability, reliability)
• using AI agents to automate what should not be manual
• building projects that are simple to run, well-documented, and easy to adopt

My goal with open source is to build tools and products that are easier to use, easier to deploy, and easier to maintain than overly complex alternatives. I want to prove that a modern workflow—high standards, strong validation, and AI acceleration—can produce solutions that rival what large companies ship.

Using AI is part of the craft for me: the skill is in specifying correctly, making the right trade-offs, validating output, and delivering reliable software.

• TypeScript, Angular
• Cloud (often Google ecosystem, depending on context)
• Containers (Docker); orchestration when it makes sense
• IaC (for example, Terraform, depending on the project)
• Git and automation (for example, GitHub Actions)
• Monitoring and logging (tooling varies)

• GitHub: https://github.com/rj-vulgo22