About me
I’m Daniel Pina, a backend engineer from Portugal building and studying practical AI systems.
My interest is not in AI as spectacle. I care about the parts that make systems useful: APIs, agents, automation, reliability, workflows, and the engineering decisions behind them.
I approach AI from a backend engineering perspective: clear interfaces, reliable execution, maintainable systems, automation that saves real work, and tools that fit into existing software.
This site is where I document what I’m learning, building, and clarifying as I move deeper into AI engineering.
What to expect here
- Practical notes on AI engineering.
- Agent and automation workflows.
- MCP experiments and examples.
- Backend patterns for AI systems.
- Clear explanations without hype.