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, TypeScript, Node.js, React.js, React Native.
- Machine Learning Tools: Pandas, NumPy, Keras, TensorFlow, Sklearn.
- Experience with: NestJS, NextJS, 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 deepening my knowledge in unstructured data processing using LlamaIndex, vector databases like Qdrant, and MCP.
- Focused on improving my skills in React, Node.js, and Python..
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