Software Developer currently focused on Ruby on Rails for building secure APIs and intuitive interfaces. I have worked on API integration projects using Docker, React, GraphQL, and other frameworks and tools, always prioritizing best practices, automated tests, and efficiency in communication between systems.My background as a scientific researcher dates back to 2019, in which I gained extensive experience in data analysis, data visualization, and Machine Learning modeling. Through this experience I have developed a strong foundation in statistics and data-driven insight extraction to solve complex problems. My data analysis toolbox includes Python, SQL, and R.My PhD research involves the application of Machine Learning technologies combined with infrared spectroscopy for analyzing soil and sediment attributes in hydrographic basins affected by environmental degradation processes.