During March 2025, Jovan Mitrevski focused on improving graph manipulation robustness in the fastmachinelearning/hls4ml repository. He addressed a bug related to node removal when the affected node’s output was directly connected to the model outputs. By updating the graph to reference the previous node’s output, he ensured that model output correctness and graph integrity were preserved after edits. This unified the code path for node removal, reducing the risk of production issues. Jovan applied his skills in Python and model optimization to deliver a targeted fix, demonstrating careful attention to edge cases and maintaining reliability in the codebase.