Building intelligent software with Python, AI, LLMs, cloud-native architectures, and scalable backend systems.
I'm a Software Engineer from Brazil π§π· passionate about solving problems through technology.
Over the past few years I've worked across backend engineering, distributed systems, cloud infrastructure, automation, and more recently AI Engineering.
I enjoy building products from zero to production, designing scalable architectures, and experimenting with the latest AI technologies.
Currently I'm focused on:
- π€ AI Engineering
- π Python
- β‘ FastAPI
- π§ Large Language Models (LLMs)
- πΈοΈ Multi-Agent Systems
- βοΈ AWS
- π Cloud-native applications
- π Building SaaS products
- AI Agents
- Agentic Workflows
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Function Calling
- Tool Calling
- Structured Outputs
- Vector Databases
- AI Automation
- LLM Evaluation
- Context Engineering
Experienced building:
- REST APIs
- Authentication
- Authorization (RBAC)
- Background Workers
- Distributed Systems
- Event-Driven Architectures
- High-performance APIs
- Async Programming
- Clean Architecture
- SOLID Principles
- EC2
- ECS
- S3
- DynamoDB
- Glue
- Kinesis Firehose
- IAM
- CloudWatch
Also comfortable with:
- Docker
- Docker Compose
- Linux
- CI/CD
- GitHub Actions
- PostgreSQL
- SQL Server
- SQLite
- MySQL
- ClickHouse
- Redis
- DynamoDB
- Claude Code
- Cursor
- Windsurf
- VS Code
- Git
- GitHub
- GitHub Actions
- Postman
- n8n
Technology moves fast, and that's one of the reasons I love this field.
Right now I'm diving deeper into:
- AI Engineering
- Multi-Agent Systems
- Model Context Protocol (MCP)
- Agent-to-Agent communication
- LLM Evaluation
- Context Engineering
- Kubernetes
- AWS Architecture
- Distributed Systems
- Software Architecture
Besides coding, you'll probably find me:
- π Reading books
- πΈ Playing guitar
- π Learning languages
- π Building SaaS products
- π€ Exploring new AI models
- β Drinking way too much coffee
"Programs must be written for people to read, and only incidentally for machines to execute."
β Harold Abelson

