Personal initiatives bridging research, teaching and engineering — open to explore.
A foundational book that recovers the fundamentals behind the tools — from distributed systems and modularity to containers, DevOps, IaC and SaaS — to shape engineers, not operators. Born from the courses taught at CESAR School.
A scientific core for planning cloud capacity up front — from declared objectives to architecture, traceably and reproducibly. From the doctoral thesis (CESAR, 2023) to two papers and a product in production.
A governance framework that couples integrity, fairness, synthetic data and provenance into a single auditable system for trustworthy AI in sensitive domains. Published in AI and Ethics (2026).
An academic study and two essays on education, learning and personal development — what truly shapes people: method, effort, family and the role of the school. Published in Portuguese, English and Spanish.
A trade-off engine — not a template — that compiles your project profile into Markdown guardrails an AI agent reads as it builds. From throwaway PoC to regulated system, with every choice recorded. It grows out of the doctoral thesis on capacity planning.
CARLOS DIEGO C. P.