During August 2025, Jae Y. Chang focused on backend development for the stanford-crfm/levanter repository, addressing a critical bug in the job execution path under constrained core allocation. He implemented a Python-based solution that ensures at least one host is provisioned when the number of cores is below eight, and introduced a failure condition if no tasks are scheduled, preventing false success reports. Leveraging his expertise in distributed systems and cloud computing, Jae’s work improved the reliability and accuracy of job scheduling under edge-case resource scenarios, resulting in more trustworthy system behavior and clearer reporting for low-core allocation environments.