Software EngineerOpen to opportunities

Hi, I'm Gustavo.Full Stack Software Engineer focused on Backend, AI, and Automation.

I design and build scalable systems using Node.js and cloud-native architecture. I have experience developing AI-powered products, complex automations, and data pipelines, as well as modern web applications for fintech, e-commerce, and internal tools.

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Specialties

✓Node.js (NestJS, Express, Fastify) + TypeScript
✓React, Next.js, and modern full-stack architecture
✓AI integrations (LLMs, agents, RAG, automations)
✓WebSockets and real-time systems
✓PostgreSQL, MySQL, MongoDB, and Redis
✓Docker, CI/CD, and cloud infrastructure (AWS EC2, S3)
✓Automation with N8N and API integrations

About

A bit about me

I'm a Full Stack Software Engineer with over 4 years of experience building scalable web applications using Node.js and React / Next.js. My work focuses on backend development, automation, and cloud-native architecture, and I also have experience integrating AI into products by building intelligent agents, data pipelines, and systems that automate complex workflows.

Scalable architecture

Designed and implemented modern architectures using Node.js, NestJS, and React, including migrating monolithic applications to decoupled systems with Docker containerization and cloud infrastructure.

AI-powered products

Built solutions using AI such as context-aware agents (RAG), LLM-based resume analysis, and systems that transform large volumes of data into useful insights for users.

Process automation

Developed automation workflows using N8N, APIs, and integrations with services like Telegram and Notion to eliminate manual tasks and create automated data and notification pipelines.

Real-time systems

Implemented systems using WebSockets to stream real-time data, enabling instant updates and live information delivery in web applications.

Infrastructure & DevOps

Experience with Docker, CI/CD pipelines using GitHub Actions, and cloud deployments on AWS (EC2 and S3), ensuring reliable delivery pipelines and reproducible environments.

Data & performance

Worked with relational and NoSQL databases such as PostgreSQL, MySQL, and MongoDB, as well as Redis for caching and performance optimization in data-intensive applications.

Projects

Selected Engineering Work

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