Worked on the replicate/cog-flux repository to deliver a feature enabling PyTorch model compile caching within Cog environments. Focused on updating the cog.yaml.template to upgrade CUDA and key dependencies such as torch and torchvision, while integrating Redis to support efficient caching mechanisms. Leveraged skills in dependency management and environment configuration, using YAML to orchestrate these changes. This work reduced PyTorch model rebuild times and improved iteration speed for developers by allowing compiled models to be cached and reused. The approach emphasized scalable deployment and faster development cycles, with no major bug fixes reported during the period and a clear focus on feature delivery.