I’m an AI Software Developer who loves building intelligent systems that actually solve problems — not just look fancy in a diagram. I spend my time mixing machine learning, backend engineering, and automation to turn ideas into real, working products. And yes… sometimes into questionable memes 🤖📊😄
I focus on designing scalable architectures, integrating LLMs, and developing production-ready software that makes AI genuinely useful (and a little less mysterious).
As an AI Software Developer, I work on:
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🧠 Generative AI & LLMs
Building applications powered by LLMs, embeddings, vector search, and intelligent agents. -
⚙️ Backend Engineering
Developing APIs and services (Django, FastAPI) optimized for robustness, performance, and scalability. -
📦 MLOps & Deployment
Dockerized environments, CI/CD pipelines, monitoring, and model serving. -
🧱 AI Pipelines & Automation
Data ingestion, preprocessing, orchestration, and task automation with modern AI frameworks.
- 💻 AI Engineering: LLMs, RAG systems, agents, automation, and intelligent apps.
- 📲 Content Creation: I share knowledge about AI & coding on Instagram: @cerebroycodigo.
- 🏃♂️ Sports to debug my mind.
- 🍕 Italian food enthusiast.
- 🎮 Series & video games to stay balanced.
- 🎁 Funko Pop collector — essential desk decoration.
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.
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.
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.
Analyze various shark attack data to identify patterns and trends.
This project involves analyzing data related to shark attacks to identify key patterns and trends. The analysis will help understand the behavior of sharks and provide insights into reducing shark attacks.
Optimize bakery production using data analysis and machine learning
A project focused on optimizing bakery production processes through data analysis and machine learning. This involves data manipulation, visualization, and model development for better decision-making.
Develop and evaluate machine learning models to predict students' academic performance
This project develops a Streamlit application that analyzes factors affecting students’ academic performance and predicts their outcomes using Machine Learning models.
Detect fake news using machine learning algorithms
A comprehensive project to identify fake news using various machine learning techniques. This project focuses on text classification and data preprocessing to build reliable models for fake news detection.
This project is part of a Kaggle challenge to help save the passengers and change history! I build a machine learning model to predict if passengers were transported.
Welcome to the year 2912! Your mission is to predict which passengers were transported using the records recovered from the ship's damaged computer system.
A thrilling game where players need to navigate through a futuristic city to escape from various challenges and obstacles.
Experience the excitement of navigating through a futuristic city filled with challenges and obstacles. Use your skills and strategies to escape and win the game.
A curated collection of classic games, showcasing timeless gameplay and nostalgic experiences.
Explore a variety of classic games that bring back the charm of old-school gaming. Each game is a tribute to the golden era of video games.
If you like my work, consider buying me a coffee!
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