Skip to content
View macespinoza's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report macespinoza

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
macespinoza/README.md

Miguel Cotrina

Data & AI Solutions Architect | GenAI, AI Agents & Cloud Data Platforms | Speaker & Educator

I design and build applied Data & AI solutions that connect cloud platforms, modern data architectures, and Generative AI with real business needs.

My work focuses on Generative AI, AI agents, RAG, data architecture, cloud data platforms, and technology adoption, combining hands-on implementation with architectural thinking and business context.

I currently work in Data & AI initiatives for enterprise environments, contributing to solution definition, requirements review, architecture design, and applied artificial intelligence projects.

Focus Areas

  • Generative AI and AI Agents
  • RAG architectures and enterprise search
  • Cloud Data Platforms on GCP, Azure, and AWS
  • LangChain, LangGraph, and agentic workflows
  • Data engineering and modern data architectures
  • Cost optimization in cloud/data platforms
  • Technical education, workshops, and applied AI training

Featured Projects

  • GCP AI Agent Starter Kit
    Starter kit for building and deploying AI agents with memory, RAG, LangChain, OpenAI, and Google Cloud.

  • Agent UI with Login
    Frontend implementation with authentication for AI agent-based applications.

  • Mini Transformer Didáctico
    Educational implementation to explain Transformer architecture and attention mechanisms from the ground up.

  • Bot WhatsApp GPT
    Conversational AI integration for WhatsApp-based use cases.

Credentials & Profiles

How I Approach Technology

Purpose-Driven Data & AI
I focus on understanding the problem before choosing the tool, designing solutions that are practical, sustainable, and aligned with real business needs.

Pinned Loading

  1. gcp-ai-agent-starter-kit gcp-ai-agent-starter-kit Public

    Starter kit to deploy LLM agents with memory and RAG using LangChain, OpenAI, and Google Cloud (Cloud Run, BigQuery).

    Jupyter Notebook 20 6

  2. agentui-withlogin agentui-withlogin Public

    Production-ready frontend with Google login, built using Next.js and integrated with a Cloud Run. This project is part of the GCP AI Agent Starter Kit workshop and provides a clean, customizable in…

    TypeScript 6 4

  3. mini-transformer-didactico mini-transformer-didactico Public

    Implementación didáctica de un Transformer Encoder–Decoder basada en Attention Is All You Need, diseñada para entender la arquitectura y el flujo de atención desde cero, usando un dominio acotado e…

    Jupyter Notebook 4 1

  4. BotWhatsappGPT BotWhatsappGPT Public

    Conversational AI bot for WhatsApp integrations using Python and GPT-based workflows.

    Python 12 12

  5. programa7genai programa7genai Public

    Curso de Introducción a la Inteligencia Artificial Generativa con Modelos de Gran Tamaño

    Jupyter Notebook 25 10

  6. agentui-withoutlogin agentui-withoutlogin Public

    Minimal frontend UI for LLM agents integration using Next.js, designed to connect with Cloud Run APIs without Google login.

    TypeScript 4