Leandro Calado Ferreira

Interdisciplinary background: Data engineer and AI systems practitioner with postgraduate studies in data science at USP and software development at IGTI, and additional work on agentic AI and Model Context Protocol (MCP).

Professional experience in data pipelines, Databricks optimization, PySpark workloads and AI-enabled automation, with particular interest in reliable tool execution and prompt-injection defenses.

His technical writing discusses practical engineering methods for automation, cloud computing and technology governance.