Miguel Miranda de Mattos

Organizations don't struggle because they lack data.
They struggle because valuable knowledge is fragmented across enterprise applications, databases, documents and the expertise of domain specialists.

I help organizations transform fragmented enterprise information into strategic knowledge assets by designing AI-Powered Enterprise Knowledge Architectures that enable intelligent search, software modernization, impact analysis, knowledge discovery and AI-assisted decision making.

I partner with technology leaders and organizations seeking to modernize complex systems, unlock organizational knowledge and accelerate AI adoption.

My work combines Enterprise Architecture, Software Architecture, Knowledge Engineering, deterministic extraction, semantic search, Retrieval-Augmented Generation (RAG), vector search and Large Language Models (LLMs) to build scalable and explainable AI solutions for complex enterprise environments.

Over the past 20+ years, I've helped organizations design, modernize and evolve enterprise software ecosystems, combining architectural thinking with hands-on engineering experience.

My technical background includes:
• Enterprise Architecture
• Enterprise AI
• Knowledge Engineering
• RAG & Vector Search
• Cloud Architecture
• Distributed Systems
• Backend Engineering (Go, Python, Node.js)

I enjoy working with organizations facing complex technical challenges, especially those involving legacy systems, enterprise modernization, knowledge management and AI adoption.

I believe the future of Enterprise AI isn't defined by the next generation of LLMs.
It's defined by architectures that transform enterprise knowledge into a strategic business asset.