"I’m a Computer Science and Mathematics student in the Turing Scholars Honors program at UT Austin, a highly selective cohort of about 50 students per year, currently holding a 4.0 GPA. I tutor high school and early college students in math, computer science, and introductory machine learning. My background includes a perfect ACT score (36), a six-time AIME qualification, and reaching USACO Platinum, so I’m very comfortable helping with both coursework and competition prep. At UT, I’ve taken courses like linear algebra, discrete math, differential equations, probability, real analysis, computer architecture, and data structures, which lets me explain not just how to solve problems, but why the methods work.

I’m also actively conducting research in machine learning and was the first author on a NeurIPS-selected paper on ultrasound image generation. I draw on this experience to connect classroom topics like algebra, calculus, algorithms, and probability to real-world applications, which helps make the material more intuitive and engaging.

My teaching style is conversational, patient, and structured. I start by understanding your goals (homework help, test prep, or enrichment), then break problems into clear steps, work through targeted examples, and have you explain the solution back to me to confirm real understanding. I focus on intuition, pattern recognition, and problem-solving habits so you leave each session more confident, independent, and genuinely excited about math and computer science." less...