Chemical engineer with a focus on machine learning. During my career development, I focused on the rheology. I worked as a laboratory professional in the FIRST research laboratory. I have experience in the simulation and control of physicochemical processes using programs such as Aspen HYSYS, COCO, and Simulink. My skills include matrix algebra, synthesis and process analysis, computational fluid dynamics, thermodynamics, unit operations, data-driven science, and differential equations.Currently, I am developing my skills as an artificial intelligence engineer. I have knowledge in languages such as Python, MATLAB, VisualBasic, Java, C++, among others. Additionally, I had the chance to work on various data science projects, including predicting home credit risk default, analyzing sentiment in movie reviews, and classifying vehicles using Transfer Learning. In these projects, I used tools like Pandas, Matplotlib, Numpy, Scikit-Learn, XGBoost, LightGBM, Keras, ResNet, DenseNet, MobileNet, NLTK, Gensim, Spacy, Docker, Redis, Flask, and Locust.My current focus is to keep developing myself in the area of artificial intelligence, learning new technologies every day. My passion lies in using my skills to contribute to innovative projects with the potential to make a positive impact in the world.