As part of the SJSU AI/ML Club, contributed to a multi-architecture study on ship presence detection in satellite imagery. Trained ResNet-18 CNNs achieving 99% accuracy on a local image dataset and 95% on a 167K-image streamed Hugging Face dataset. Implemented WandB experiment tracking to monitor training across step-level and epoch-level metrics.