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    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

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