Developed and integrated the Entropic Time Scheduler into the NVIDIA/bionemo-framework repository, focusing on enhancing time-aware scheduling for diffusion and inference workflows. Leveraging Python and Jupyter Notebook, the work centered on algorithm design and architectural integration to improve throughput predictability and determinism within the bionemo-moco module. Visualization utilities were added to monitor scheduling behavior and interpret performance, supporting both operational transparency and future optimization efforts. The feature was delivered through multiple iterative commits, emphasizing code quality and maintainability. No bug fixes were recorded during this period, as the primary objective was robust feature delivery and seamless integration into existing pipelines.