Software Engineering student at the University of Toronto. Specializing in Artificial Intelligence, Machine Learning, and scalable Backend Systems. Bridging the gap between theoretical mathematics and practical software solutions.
VIEW WORKI am a student at the University of Toronto pursuing a triple focus in Computer Science, Mathematics, and Statistics. My passion lies in Artificial Intelligence, specifically in understanding the mathematical foundations of Neural Networks and applying them to solve complex data problems.
Beyond the models, I focus on Backend Architecture to ensure that intelligent systems are scalable, efficient, and production-ready.
Majors: Computer Science, Mathematics, and Statistics.
Relevant Coursework: Intro to AI, Machine Learning, Data Structures & Algorithms, Software Design, Linear Algebra, Statistics II.
A functional Deep Learning library built using only NumPy. Implemented backpropagation and SGD manually, achieving 95% accuracy on the MNIST dataset.
An adversarial AI agent utilizing the Minimax algorithm with Alpha-Beta pruning. Features dynamic move ordering and custom heuristics to win >80% of matches.
I am currently looking for Software Engineering Internships (AI/ML or Backend). Check out my resume or send me an email if you'd like to connect!
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