• Train and fine-tune deep learning models for See and Spray. • Use weak supervision methods for data cleaning, enrichment, and selection to build high-quality datasets for training CVML models. • Perform model selection and model evaluation; summarize findings into model release notes. • Perform error analysis on trained models; plan data collection and dataset updates for continual model improvement. • Create and maintain dashboards and visualizations to communicate data-driven insights effectively.