Hsiaotsan Li contributed to the inclusionAI/AReaL repository by addressing a critical stability issue in distributed vLLM deployments. He focused on backend development using Python, specifically targeting a port overflow problem that occurred under high data parallelism across multiple nodes. By implementing a node-local server index offset, he ensured that port assignments no longer collided, thereby improving the reliability and scalability of distributed inference. This targeted bug fix, delivered as a co-authored commit, reduced production risk and enabled safer scaling for multi-node environments. The work demonstrated a solid understanding of distributed systems and practical problem-solving in real-world deployment scenarios.