Worked on the stanford-crfm/levanter repository to address a critical bug in the job execution path related to core allocation constraints. Using Python and leveraging expertise in backend development and distributed systems, implemented logic to ensure that at least one host is provisioned when the number of available cores is less than eight. The solution also introduced a failure condition when no tasks are scheduled, preventing false success reports in scenarios where remote functions were never executed. This change improved the reliability of job scheduling and reporting, particularly under edge-case resource conditions, and enhanced trust in the system’s cloud computing workflows.