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PoeMadara/README.md

    Resilience

Carlos Vergara Gámez:
AI Specialist | ML/Data Engineer

"From data flows to embedded software: I merge generative AI and edge computing to create full-stack intelligent systems with real-world impact."

I am an AI Engineer specializing in taking intelligent systems from concept to software, including embedded systems. My work focuses on applied AI and advanced technology, combining generative AI (RAG/LangChain) with embedded software (C++/Firmware) and data automation (ETL/PySpark). I manage the entire technology stack, from the sensor interface to the cloud (AWS), to transform complex data flows into scalable and deployable solutions.

Beyond algorithms, I have a strong entrepreneurial drive and am passionate about experimenting with cutting-edge technologies. I occasionally lead AI workshops for international audiences and am a co-founder of Crazy Devs 8, where I merge AI-generated content with game development and 3D design.


🌐 Connect With Me

LinkedIn Badge Email Badge


🛠️ Technical Stack

My current stack aligns with modern AI and Data Engineering pipelines, combining GenAI, AWS Cloud, and Full-Stack development tools.

Languages

Frameworks & Libraries

Databases

Visualization

Cloud & DevOps

Frontend & Game Development


💡 Recent Projects (AI, Cloud & Automation)

My projects focus on AI-driven automation, Generative AI, and cloud-based intelligent systems.

Multi-Agent 3D Assistant (Video Demo)

An advanced AI assistant combining multiple models (Mistral, Gemini, Phi) with an interactive 3D avatar built in Three.js.
Uses a Model–Context–Protocol (MCP) architecture for multi-agent collaboration and is designed for AWS deployment.

  • Stack: Python, JavaScript, LangChain, Gemini API, Ollama Mistral, OpenAI Codex CLI, Flask, Three.js, AWS Lambda, API Gateway, S3
  • Repository: MultiAgent-3DAssistant

Video Demo 3D Multi-Agent Assistant


ERP System with Generative AI

A full-stack ERP platform designed for AI-enhanced business automation.
Currently hosted on Firebase, and ready for AWS deployment using EC2 (frontend), S3 (storage), DynamoDB (database), and Lambda (backend automation).

  • Stack: TypeScript, Next.js, React, Tailwind CSS, Gemini API, GenKit, Firebase, AWS EC2, S3, DynamoDB, Lambda
  • Repository: nextjs-erp-system

ERP System Video/GIF


Sustainable Energy Analysis Platform “SEAP”

A predictive analytics platform for renewable energy forecasting using ML and DL models.
Designed for scalability with AWS SageMaker (model training), Redshift (data analysis), and S3 (storage).

SEAP Quick Overview GIF


🎮 Additional Experience: Video Game Development

As Co-Founder & AI Developer at Crazy Devs 8, I combined creativity and AI, leading development in Unity and C#.

  • Implemented adaptive enemy AI systems with dynamic behaviors.
  • Modeled and animated assets in Blender, integrated with Unity Engine.
  • Designed immersive gameplay loops and responsive UIs.
  • Featured project: Peach City – Anti-MálagaJam18 (48-hour game jam).

🕹️ My Games Portfolio

A dedicated repository showcasing my experience as a Co-Founder and Game Developer, where I applied C# and Unity to create immersive and engaging experiences.

My Games Portfolio GIF/Image


🌐 Contact

Linkedin: https://www.linkedin.com/in/carlosvergaragamez/
Email: carlos.poemadara@gmail.com

Pinned Loading

  1. Sustainable-Energy-Analysis-Platform Sustainable-Energy-Analysis-Platform Public

    This repository uses deep learning and machine learning for time series prediction of electricity demand and energy trends. Includes data, maps, and analysis.

    HTML 4 1

  2. startups-machine-learning-team-1 startups-machine-learning-team-1 Public

    Proyecto para predecir el éxito de startups con Machine Learning. Analizamos características clave con Python. Ayuda a inversionistas y emprendedores. Equipo: Carlos y Danny.

    Jupyter Notebook 2

  3. vanguard-ab-test-team-14 vanguard-ab-test-team-14 Public

    Análisis de un test A/B en el sitio web de Vanguard, comparando la interfaz tradicional y una nueva interfaz. Herramientas: Python, Tableau y Trello. Equipo: Carlos Vergara y Oscar Paul Sanchez.

    Jupyter Notebook 1

  4. my-games my-games Public

    All the games I’ve developed using various languages such as Python, Java, C#, and HTML5.

    Java

  5. JoseMi-Sanchez/sql-database_team-7 JoseMi-Sanchez/sql-database_team-7 Public

    HTML 1

  6. nextjs-erp-system nextjs-erp-system Public

    The system is currently hosted on Firebase, but its modular architecture is ready for future deployment on AWS, using EC2 for hosting, S3 for storage, and DynamoDB with Lambda for serverless services.

    TypeScript 2