AI Agent Specialist

Architecting intelligent multi-agent systems and generative AI solutions.

About Me

Hello! I am an electronic engineer with a passion for Artificial Intelligence and technological innovation. I architect multi-agent solutions and design cloud-based AI architectures that deliver measurable business impact. My journey combines expertise in developing practical solutions in Machine Learning and LLMs with a user-centered approach, always striving to turn complex challenges into products that deliver real value.

My experience allows me to act as a strategic bridge between business needs and the best technical solutions, translating complex requirements into intuitive and powerful tools. Today, I help companies and projects build scalable and integrated AI solutions, from architectural definition to full pipeline implementation — always focusing on efficiency and innovation.

My Specialties

Specialized in orchestrating autonomous agents, building advanced RAG pipelines, and architecting cloud-based AI solutions from concept to deployment.

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Artificial Intelligence

Architecture and implementation of complete Machine Learning pipelines and products with LLMs.

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AI Agents & Multi-Agent Systems

LangChain, LangGraph, ReAct patterns, agent orchestration, and complex workflow automation with measurable business impact.

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Multi-Cloud AI Architecture

Enterprise-grade solutions on AWS Bedrock, GCP Vertex AI, and Azure OpenAI Studio with cost optimization and scalability planning.

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Functional Analysis and Prototyping

Requirements gathering and rapid prototyping with integrated artificial intelligence.

Featured Projects

Latest Blog Posts

Agents 101: Understanding the Fundamentals of AI Agents

Do you really understand how AI agents work? AI Agents seems to be a complex topic, and because of this, it can cause people to distance themselves. Despite AI being on the rise, many professionals do not understand the fundamentals of AI agents. And this matters. A lot. Why? Because the understanding of the entire team is essential for the success of any AI solution.

MCP: much more than a tools protocol for AI

MCP (Model Context Protocol) is much more than a protocol for connecting AI agents to tools — it acts as a knowledge design layer that organizes, shares, and reuses an organization's technical domain through tool endpoints, resources, and prompts, transforming knowledge into intelligent infrastructure.

Financial Analysis of Startups

This article reveals how data analysis can be the key to startup success, helping predict profits and optimize investments. By understanding costs in crucial areas such as administration, marketing, and R&D, companies can define clear strategic goals, boosting their growth and ensuring their survival in the competitive market.

Academy Accreditation - Databricks Fundamentals