I'm an AI Engineer specializing in building production-ready AI systems. I turn LLMs and ML models into real products that solve actual problems — not just POCs that die in a notebook. I focus on: RAG systems, AI agents, LLM integrations, MLOps pipelines, and scalable backend architectures that make AI genuinely useful in production.

As an AI Engineer, I specialize in:

• 🤖 AI Systems Architecture
  Designing and building production-grade AI applications: RAG systems, multi-agent workflows, LLM-powered APIs, and intelligent automation.

• 🧠 LLM Engineering
  Fine-tuning, prompt engineering, embeddings, vector databases (Pinecone, ChromaDB), and retrieval systems that actually work at scale.

• ⚙️ Backend & API Development
  Building robust APIs (FastAPI, Django) optimized for AI workloads, with proper error handling, rate limiting, and monitoring.

• 📦 MLOps & Production
  Dockerized deployments, CI/CD for ML models, monitoring, versioning, and everything needed to keep AI systems running reliably.

I’ve designed my workspace to boost productivity and comfort. Check out the full breakdown of my setup, including hardware, software, and configurations, in my setup repository.

Educational repository with resources and projects on data, artificial intelligence, and applied technology.

Cerebro y Código is a learning hub to explore and share resources on data and AI. It offers practical and theoretical content on topics like machine learning, automation, and visualization.

RAG System for the educational repository Brain and Code.

This project implements a (RAG) system for an educational repo called Cerebro y Código, enabling enhanced information retrieval, contextual Q&A, and AI-assisted learning through embeddings, LLMs, and an interactive interface.

Learn, generate and understand GitHub Actions workflows with ready-to-use templates and practical resources.

Yamly is an educational project designed to simplify GitHub Actions and CI/CD workflows through interactive learning, reusable templates, and practical examples.

Streamlit-based Docker generator that simplifies containerization for developers.

Streamlit-based Docker generator that simplifies containerization for developers. Input your project requirements and get production-ready Dockerfiles with multi-stage builds, optimized layers, and complete docker-compose configurations. Educational, intuitive, and built to teach Docker best practices while saving time.

Develop a comprehensive solution for the early detection and management of Alzheimer's disease.

This project aims to develop a comprehensive solution for early Alzheimer’s detection and management, combining ML models, deep learning, an interactive app, a chatbot, and an Alexa skill.

Intelligent web platform for clustering analysis that automates the entire ML pipeline for data segmentation.

ClusterFlow is an intelligent web platform that automates the full clustering pipeline — from data loading to results export. It offers intelligent variable selection, multiple algorithms (K-Means, DBSCAN, Agglomerative), automatic optimization, PCA visualization, and professional export, all through an intuitive visual interface.

Develop a no-code web app that lets anyone build, train, and deploy machine learning models through a simple and intuitive visual interface.

FridAI is an interactive web app that democratizes machine learning by allowing anyone to build, train, and deploy predictive models without writing a single line of code. From data exploration to model deployment, FridAI handles the entire machine learning workflow through an intuitive, visual interface that makes AI accessible to all.

Develop a no-code web app that lets anyone build, train, and deploy machine learning models through a simple and intuitive visual interface.

Cleanly is an interactive Streamlit-based tool that allows you to upload, clean, and analyze CSV files easily. It provides functionalities for data cleaning, outlier removal, data visualization, and exploratory data analysis (EDA.

A project to recommend the best electric and solar tariffs for users based on their consumption patterns and preferences.

This project helps users find the best electric and solar tariffs by analyzing their consumption data and preferences to provide personalized recommendations.

Interactive suplly chain analysis using Power BI and Python for strategic insights.

The supply chain is a critical component of any business, and understanding its dynamics can lead to significant improvements in efficiency and effectiveness. This project leverages the power of data analytics to provide insights into various aspects of the supply chain, from supplier performance to product trends.

Interactive analysis of employee metrics using Power BI and Python for strategic insights.

The objective of this project is to provide an interactive and detailed analysis of key employee metrics to support strategic decision-making. This includes leveraging both Power BI for interactive dashboards and Python for data analysis, cleaning, and visualization.

A predictive data analysis model estimates salaries in Data Science and AI using machine learning.

This data analysis project develops a predictive model to estimate salaries in the field of Data Science and Artificial Intelligence. Using advanced machine learning techniques, the system analyzes factors such as experience, geographic location, technical specialization, and work modality to generate personalized salary estimates.

Interactive marketing analysis using Power BI and Python for strategic insights.

The objective of this project is to provide an interactive and detailed analysis of key marketing metrics to support strategic decision-making. This includes leveraging both Power BI for interactive dashboards and Python for data analysis, cleaning, and visualization.

A collection of various games developed to showcase different game development techniques and technologies.

Explore a variety of games developed using different game development techniques and technologies. Each game demonstrates unique features and gameplay mechanics.

If you like my work, consider buying me a coffee!