I am a '27' from Amazonas, Peru majoring in Mathematics. During my E.E. Just Summer Internship, I created two AI models: one for diagnosing heart disease and another for detecting and classifying brain tumors. The best performances of the models were an accuracy of 88.2% to detect absence of heart disease and an accuracy of 94.55% to detect Meningioma Brain Tumor. These models were built using data from the Machine Learning Repository of the University of California, Irvine, and a public dataset provided by the National Institute of Technology, Durgapur, India. My work involved the application of optimization techniques, linear algebra, statistics, and probability, utilizing Supervised Learning methods. Specifically, I used a Convolutional Neural Network (CNN) to interpret Brain Tumor MRI data and a feed-forward neural network to diagnose Heart Disease from numerical data. I am passionate about Artificial Intelligence and aspire to build a career as a Machine Learning Researcher. The resources and way of reasoning that mathematics provides in the world of AI is unique, and I have acquired much more commitment to my mathematical endeavors. The E.E. Just Program has been instrumental in refining my research skills, particularly in scientific writing and the application of best practices in research. This was my first time as a full-time researcher, and it has increased my motivation to pursue a future in AI and Mathematics.