Problem
Understand the context, the person, and the value that needs to be created.
A path through AI Engineering, leadership, and teaching
A practice that combines building, leadership, and sharing to turn complex technologies into applicable solutions.

Leo Teixeira
Leonardo is an AI Engineer, technical leader, and university professor, working in AI Engineering for products with experience in solution architecture, AI governance, team coordination, and the integration of business, product, and technology.
He specializes in LLMs, Prompt Engineering, intelligent agents, LLMOps, and RAG. As a Master’s student in Software Engineering at CESAR School, he researches Prompt Engineering techniques that improve the quality, reliability, and efficiency of language-model-based solutions.
How I work
It is not a rigid recipe. It is a sequence of questions that keeps technology, product, and learning in the same system.
Understand the context, the person, and the value that needs to be created.
Choose a direction that connects opportunity, risk, and delivery capacity.
Test hypotheses early, with enough signal to learn without disguising uncertainty.
Structure the solution so product, data, models, and people can evolve together.
Define criteria for quality, reliability, and fit for the context of use.
Observe, learn, and improve the solution without losing its original intent.
Experience and reach
Projects, products, teaching, research, and training connected by real problems.
Teaching and sharing
Formats that adapt to the context, maturity, and challenges of each organization.
Experiences tailored to the organization’s maturity and challenges.
Guided practice that turns foundations into the ability to act.
Clarity, context, and real examples to open new conversations about AI.