I’m interested in algorithms, systems, and building a strong foundation in computer science. I’m especially drawn to machine learning because it connects the mathematical concepts I enjoy with practical applications that can model patterns and make meaningful predictions.
I come from a strong math background, with experience in linear algebra, differential equations, and probability. I've also had early exposure to research through IEEE conference papers, which introduced me to how technical ideas are developed and communicated.
In addition, I led and contributed to educational initiatives through The Math and Science (TMAS) Academy, where I worked on creating math-focused learning materials and later served in a leadership role.
At this stage, my priority is growth - especially in programming and problem solving. I'm working on becoming more comfortable implementing algorithms from scratch, debugging effectively, and thinking through problems step by step.
🐯 LSU Math Department Website 💻 Exploring machine learning, systems, and applied technical projects