I am a graduate of Northwestern University, where I earned my Bachelor of Science in Computer Science. During my time at Northwestern, I found tremendous joy in guiding students through challenging concepts, both as an undergraduate teaching assistant and through informal peer tutoring. My passion for tutoring stems from the fulfillment I experience when students grasp complex ideas, build their confidence, and ultimately achieve their academic goals.

Currently, I work professionally as an AI engineer, allowing me to bring real-world relevance and exciting applications into my teaching sessions. I specialize in tutoring computer science subjects such as Python programming, data structures, algorithms, artificial intelligence, and machine learning. My favorite subject to tutor is machine learning, as it combines creativity, analytical thinking, and practical applications that help students see the direct impact of their learning.

My tutoring philosophy centers on fostering a deep conceptual understanding rather than rote memorization. I adapt my teaching style to fit each student's individual learning preferences, making complex material approachable and engaging. By encouraging questions and active participation, I strive to make tutoring sessions enjoyable and highly productive.

Outside of academia, I like playing guitar, attending baseball games, and experimenting with new technology projects. I believe a balanced lifestyle enriches the educational experience, and I aim to inspire my students to pursue their interests with curiosity and enthusiasm.