Tibi Craiu developed a configurable idle Python worker limit for the apache/spark repository, focusing on enhancing resource management and predictability for PySpark workloads. By introducing a cap within the PythonWorkerFactory, Tibi enabled more precise control over the pool size of idle Python workers, which helps reduce unnecessary resource consumption and supports clearer capacity planning in Spark clusters. The implementation, written in Scala and leveraging backend development skills, addressed the need for stable and predictable cluster performance. Although the work spanned a single feature over one month, it demonstrated a targeted approach to improving operational efficiency in large-scale distributed systems.