Deep Learning Fundamentals
Fundamentals of deep learning, including transformer implementation in Pytorch, training and inference, performance analysis, hyperparameter tuning, and architectural variations (ablations).
Portfolio Site
jbmopper.github.io
Building practical, high-signal AI systems and the tooling to understand, benchmark, and ship them.
Welcome
This site is under active rebuild. It serves as a technical portfolio focused on model implementation, profiling, and performance-driven iteration.