Jairzinho Santos

AI Architect | Researcher | AI Master's Candidate

A human passionate about technology, business, and the future.

Professional Overview

👨‍💻 IT professional with 8+ years in the Tech Ecosystem. I specialize in designing impactful and scalable Generative AI solution architectures. With extensive experience across hundreds of projects in Latin America, I've worked in diverse industries such as banking, insurance, telecom, retail, mining, healthcare, and more.

Currently, I serve as an AI Solutions Architect at Latam Consultancy, leading the design and implementation of cutting-edge AI solutions. I'm also actively building a global community focused on advancing Generative AI technologies.

View CV

Core Expertise

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Solution Architecture

Designing end-to-end GenAI architectures for cloud, on-premise, and hybrid environments.

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Development

Building solutions using state-of-the-art AI models and scalable techniques.

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User-Centric Design

Crafting human-centered solutions that prioritize user experience.

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Leadership

Guiding cross-functional teams with a 360° vision to achieve strategic objectives.

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Strategic Design

Evaluating, planning, and aligning Generative AI initiatives with organizational goals.

Research Focus

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Generative AI

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Reinforcement Learning

⚛️

Quantum Computing

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Computational Neuroscience

Projects

Line Follower Agent with Complete Case Coverage

This project implements a reflex agent in Python that traverses a 2D grid following "lines" (dark cells), detects loops, and exports results in JSON and Excel. The perception→action logic and simulation parameters are fully decoupled in JSON files in the input/ folder.

Python 3.7+Git (or download the repository as ZIP)

Ver Proyecto

RAG-AZURE 🤖

RAG-AZURE is a modular and scalable Retrieval-Augmented Generation (RAG) solution built with Azure services, designed for rapid MVP development and validation of RAG implementations. Well-structured project implementing a RAG system using Azure services. Follows a modular architecture for fast development, testing, and deployment, leveraging Azure OpenAI, Azure AI Search, and Azure Cosmos DB.

Azure OpenAIAzure AI SearchAzure Cosmos DBModular and scalable architecturePython 3.8+Azure SDKFastAPIDocker

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OCR Model 🤖

OCR Model explores the OCR capabilities of the GPT-4o model from OpenAI, integrating optical character recognition into a simple application built with Flask. This project develops an OCR model using OpenAI's most advanced GPT-4o model. The system processes images and extracts text using OCR, integrating these features into an application that can be run locally.

GPT-4o (OpenAI)Optical Character Recognition (OCR)FlaskPython 3.8+OpenAI API

Ver Proyecto

Publications

OpenAI o1 y o1-pro: La nueva frontera de la IA

Análisis detallado del lanzamiento de los nuevos modelos o1 y o1-pro de OpenAI, explorando sus capacidades, implicaciones en el mercado y el futuro de la IA generativa.

DeepSeek V3/R1: Un Cambio de Paradigma en IA, pero con Precaución

Durante las últimas semanas, el modelo de IA chino, DeepSeek V3 & R1, ha estado causando sensación — y por buenas razones. Su potencia y capacidades me han dejado profundamente impresionado.

Publication Title 3

Brief summary or description of publication 3.

DeepSeek: A Game-Changer in AI, but Proceed with Caution

As the AI race intensifies globally, DeepSeek emerges as a formidable contender, challenging the dominance of established players like OpenAI and Anthropic.