DeveloperOpen to opportunities

Hi, I'm Gustavo.Full Stack Software Engineer with 4+ years of experience.

I design and implement scalable systems across financial and e-commerce domains, with a strong focus on automation, cloud-native architecture, and CI/CD.

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Highlights

✓Node.js (Express, NestJS, Fastify) + TypeScript
✓React + Next.js
✓MongoDB + PostgreSQL, Docker, CI/CD (GitHub Actions)

About

A bit about me

Full Stack Software Engineer with 4+ years of experience in the Node.js ecosystem (Express, NestJS, Fastify) and React / Next.js, specializing in Cloud-Native architectures (Azure/AWS) and CI/CD workflows using GitHub Actions.

Architecture & migrations

Led the migration of an EJS-based monolith into a decoupled NestJS + React architecture with Docker containerization to improve maintainability and scalability.

Automation & efficiency

Automated workflows and data collection, achieving up to 100% reduction in manual effort and 60% gains in operational efficiency.

Data-driven delivery

Built SQL-driven dashboards and real-time metrics to support data-driven decision making for e-commerce and financial use cases.

Projects

Some things I've built

A few selected projects from my recent work.

USA Stock Market

Project to monitor U.S. stock market assets and generate automated emails with financial news from the Finnhub.io API, using Inngest for workflows and Gemini for AI-generated email content.

Next.jsMongoDBMongooseBetter AuthFinnhub APIInngestGemini APINodemailer

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Sports Socket

Node.js API focused on real-time sports match updates using WebSockets as the main event channel and REST where synchronous request/response makes sense (bootstrap, listing, and creating matches).

Node.jsWebSocketRESTPostgreSQLDrizzle ORMZodDocker

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AI Resume Analyzer

Application that analyzes resumes against specific job descriptions, evaluating compatibility and ATS alignment, with a 0–100 score and improvement suggestions.

ReactReact RouterPuter.jsAI

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AI Agents

AI agent that answers questions based on data stored in a vector database: it transcribes audio, splits it into chunks, generates embeddings per chunk, stores them with a classId, and retrieves the most relevant context to answer questions about a specific lesson or recorded class.

FastifyPostgreSQLDrizzle ORMVector databaseDockerZod

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Certificates