I hold a Bachelor of Science in Computer Science and Mathematics from the University of Texas at Austin (ranked #7 nationally in Computer Science), where I graduated with a 3.9 GPA. My coursework and research focused on advanced topics like machine learning, data structures, and distributed systems, complemented by a minor in business. This foundation allows me to tutor subjects ranging from introductory programming (Python, Java) to advanced areas like algorithms, computer vision, and NLP....
I hold a Bachelor of Science in Computer Science and Mathematics from the University of Texas at Austin (ranked #7 nationally in Computer Science), where I graduated with a 3.9 GPA. My coursework and research focused on advanced topics like machine learning, data structures, and distributed systems, complemented by a minor in business. This foundation allows me to tutor subjects ranging from introductory programming (Python, Java) to advanced areas like algorithms, computer vision, and NLP. My industry experience as a software engineer at companies like Nuro and ZipRecruiter - where I built ML pipelines and full-stack systems - ensures I can bridge theoretical concepts with real-world applications.
I’ve tutored peers and younger students for over three years, both one-on-one and in small groups, adapting my approach to individual learning styles. For example, I’ve helped high school students grasp AP Computer Science principles through interactive coding exercises, while guiding college students in debugging complex projects or optimizing ML models. At Texas Convergent, I mentored 30+ students as a Technical Program Manager, teaching collaborative software development and Agile methodologies. My teaching philosophy emphasizes clarity, patience, and practical problem-solving - whether simplifying abstract math concepts or demystifying cloud infrastructure (AWS/Docker). I’m passionate about empowering students to think critically and build confidence in STEM fields.
