ABOUT
Software, product, and the human problem.
I’m Marcelo Taparelli, a software engineer. My background combines hands-on experience in software development and product with a completed degree in Systems Analysis and Development, complemented by Software Engineering studies at Alura and my current focus on Applied AI Engineering.
I work on web applications, automation, and system maintenance. Today, I’m deepening that foundation through Applied AI Engineering, with a focus on intelligent systems and products. I also incorporate AI coding agents into my software engineering workflow for planning, implementation, debugging, testing, and validation, while maintaining human review and explicit quality gates.
A path of connections
Before and alongside software, sales, negotiation, and teaching English broadened my communication skills. As a Product Owner, I worked on briefs, requirements, prioritization, and the website delivery lifecycle.
Professional experience
Jul 2026 — Present
Agência CatusFull Stack Developer
Web applications, WordPress, and Wake. Institutional website, blogs, customization, performance, and production troubleshooting.
Apr 2024 — Present
EVAGDeveloper
Systems, websites, and automation. Google Drive → WordPress, petition page generation, and a support solution integrated with GitLab.
Apr 2023 — Mar 2024
EVAGProduct Owner
Website delivery lifecycle: clients, briefs, requirements, design, development, prioritization, and process improvement.
Capabilities in context
Engineering
TypeScript, Node.js, REST APIs, software architecture, Clean Architecture, DDD, SOLID, microservices fundamentals, and production troubleshooting. CI/CD with GitHub Actions, unit, integration and E2E testing, automated quality gates, and artifact-based delivery.
AI-assisted software engineering
Agentic Software Development, AI coding agents, human-in-the-loop workflows, and automated quality gates.
Infrastructure & security
SQL/PostgreSQL, Docker, Git/GitLab/GitHub, AWS Cloud fundamentals, authentication and authorization, secure development, logging, and observability fundamentals.
Current focus
Applied AI Engineering: understanding when AI is needed, how to evaluate its quality, and how to handle cost, latency, and failures. Today, I deepen this area through study, experimentation, and practical building, evaluating when AI genuinely adds value to a product.
Additional training — Alura
- Software Engineering
- Microservices
- Back-end
- APIs with Node.js and Express
- Authentication, Testing and Security with Node.js
- DevOps and CI/CD
- Cloud / AWS
- Secure Development / Cybersecurity
LET’S TALK
Good products start with a good conversation.
Professional opportunities, partnerships, or a conversation about software, engineering, and applied AI.
contato@marcelotaparelli.com.brConnect on LinkedIn