Currently diving deep into machine learning and deep learning—building models with Python, TF-IDF, Lasso Regression, and Naive Bayes, and deploying them using Streamlit. My philosophy is simple: build to learn—I sharpen my skills by creating real-world applications. One of my ongoing projects is a dynamic voting and survey website, where I apply both frontend logic and backend data handling. Outside of code, I enjoy unraveling the abstract—philosophy and physics are my favorite mental playgrounds.
