Building AI, Math, and Order from First Principles.
A showcase of my work in AI, machine learning, and mathematics, blending theoretical insights with practical applications.
A reinforcement learning project to optimize traffic flow in Stockholm using real-time data and agent-based modeling. This project explores the application of Q-learning to reduce congestion and improve urban mobility.
View on GitHubAn interactive web-based tool to visualize neural network architectures and training dynamics, built with JavaScript and D3.js. This project aims to make deep learning concepts more accessible to students and researchers.
View on GitHub