During March 2025, Jovan Mitrevski focused on improving graph robustness in the fastmachinelearning/hls4ml repository. He addressed a bug related to node removal when the node’s output was directly connected to the model outputs, a scenario that previously risked breaking model correctness. By updating the graph to redirect output connections to the previous node, he unified the code path for remove-node operations and preserved output integrity. This work, implemented in Python and leveraging skills in graph manipulation and model optimization, reduced the risk of production errors and ensured that future graph edits would maintain consistent and reliable model behavior.