Andreas Petersson developed and documented the Immich Machine Learning Load Balancer for the immich-app/immich repository, focusing on enhancing the scalability of machine learning workloads within the Immich open-source community. He implemented a feature that distributes ML requests across multiple machines, improving resource utilization and supporting collaborative development. Using React and TypeScript, Andreas updated project documentation to clarify the load balancer’s role and integration, ensuring clear communication for contributors. While no bugs were recorded during this period, his work demonstrated a solid understanding of ML infrastructure concepts and open-source collaboration, delivering a targeted solution with well-maintained commit practices and documentation.