I'm a 27-year-old tech enthusiast with a strong passion for Artificial Intelligence and data-driven solutions.

After spending several years working in the automotive industry, I decided to pivot my career into the tech world. I completed a Higher Degree in Web Application Development, where I built a solid foundation in software development.

Currently, I'm continuing my journey at the AI Bootcamp at Factoría F5, where I’m deepening my knowledge in Artificial Intelligence through a collaborative and hands-on methodology.

At Factoría F5, we follow a dynamic learning approach based on:

• Peer-to-peer learning ("knowledge pills")
• Real-world project development
• Focus on:
  • Machine Learning
  • Deep Learning
  • Web Development (as a complementary skill)

• Python
• JavaScript
• Java

• HTML5
• CSS3 / SCSS
• Bootstrap
• Node.js (basic knowledge)

• NumPy
• Pandas
• Scikit-learn
• TensorFlow / Keras (learning phase)

• Git & GitHub
• Visual Studio Code
• Docker (basic knowledge)
• Postman

My goal is to become a Data Engineer, focusing on building scalable data systems and working with large datasets to support intelligent applications.

• Artificial Intelligence
• Machine Learning & Deep Learning
• Data Engineering
• Backend Development
• Problem Solving

• Advanced Machine Learning techniques
• Deep Learning fundamentals
• Data pipelines & data architecture

🔗 Team project (Bootcamp collaboration)
📍 Developed as part of the AI Bootcamp at Factoría F5

• 📌 Role: Deep Learning model development & evaluation
• 🧠 Techniques: Image Classification (Deep Learning)
• 🛠️ Tools: TensorFlow / Keras
• 💡 Description: Built a multiclass waste classification system capable of identifying the correct recycling bin from images. Achieved ~93% accuracy across 7 categories using multiple deep learning models.

🔗 Team project (Bootcamp collaboration)
📍 Developed as part of the AI Bootcamp at Factoría F5

• 📌 Role: Data preprocessing & model training
• 🧠 Techniques: Classification (Scikit-learn)
• 🛠️ Tools: Python, Pandas
• 💡 Description: Built a machine learning model to predict the final outcome of animals in shelters using real-world data.

🔗 Team project (Bootcamp collaboration)
📍 Developed as part of the AI Bootcamp at Factoría F5

• 📌 Role: Data cleaning & visualization
• 🛠️ Tools: Pandas, Seaborn, Matplotlib, Plotly
• 💡 Description: Performed data cleaning, preprocessing, and exploratory analysis to uncover patterns and insights from animal bite datasets.

🔗 Team project (Bootcamp collaboration)
📍 Developed as part of the AI Bootcamp at Factoría F5

• 📌 Role: Feature engineering & regression modeling
• 🧠 Techniques: Regression
• 🛠️ Tools: Python, Pandas, Scikit-learn
• 💡 Description: Developed a machine learning pipeline to predict how long an animal stays in a shelter before being adopted.

• LinkedIn: https://www.linkedin.com/in/raulmachaca/
• Email: dev.raul.ml@gmail.com

I'm always open to learning, collaborating, and working on exciting tech projects.

"Turning data into meaningful solutions."