I'm a software engineer with a master's degree in Applied Computing, passionate about using programming to solve problems. I have experience in Back-End and Mobile development, as well as expertise in Machine Learning.

• Experience: Node.js (Express, Sequelize, JWT), React.js, React Native and Python (Pandas, NumPy, Keras, TensorFlow).
• As a researcher, I developed an evolutionary algorithm with neural networks and a feature selection method to optimize the accuracy of soil health indicator predictions.
• Freelance Projects: I developed Node.js APIs and React Native applications for companies in the agriculture and experiment management sectors.

• Languages: Python, Node.js, React.js, React Native.
• Machine Learning Tools: Pandas, NumPy, Keras, TensorFlow, Sklearn.
• Experience with: Linux, Git.

• Continuous Learning: Passionate about learning and improving, whether through courses, projects, or staying updated with industry trends.
• Problem-Solving: Analytical and focused, I enjoy breaking down complex issues and finding effective solutions.
• Team Collaboration: Cooperative and communicative, with experience working in cross-functional teams to drive project success.
• Attention to Detail: Focused on quality and accuracy, ensuring that code and documentation are clear and precise.

• Currently learning Flask and Django to expand my expertise in Python frameworks.
• Focused on improving skills in Machine Learning and Neural Networks.

• Open to freelance opportunities and project collaborations.
• Interested in opportunities as a Full Stack or Mobile Developer (React Native).