About Me

As a recent Computer Science graduate from Stanford University, I bring a strong foundation in both theoretical and applied aspects of computing. My academic journey included a minor in Mathematics, deepening my analytical and problem-solving skills, and a specialization in Artificial Intelligence. During my undergraduate studies, I delved into a wide range of topics, from fundamental programming paradigms and data structures to advanced algorithms and complex systems. My AI specialization equipped me with expertise in machine learning, natural language processing, computer vision, and the underlying mathematical principles that drive these fields. I've had hands-on experience implementing AI systems, analyzing their performance, and exploring their real-world applications. I'm passionate about making complex technical concepts accessible and enjoyable to learn. Whether you're grappling with introductory programming, seeking to understand the intricacies of algorithms, or eager to explore the exciting world of artificial intelligence, I'm here to guide you. I believe in fostering a deep, intuitive understanding, not just rote memorization, and I'm adept at tailoring my approach to individual learning styles. My goal is to equip you with the knowledge and confidence to tackle challenging problems and succeed in your academic and professional endeavors within computer science and mathematics.

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