During November 2025, Sepehr Hosseini developed a hybrid quantum-enhanced ensemble classification tutorial for the Qiskit/documentation repository, collaborating with Multiverse Computing. He focused on integrating Singularity Machine Learning to support grid stability workflows, enabling researchers to conduct reproducible experiments in quantum machine learning. Sepehr implemented an end-to-end tutorial flow with practical Python code samples, enhancing onboarding and documentation for advanced quantum computing use cases. His work improved the structure and clarity of technical guidance, facilitating cross-team collaboration and adherence to contribution standards. The project demonstrated depth in Python programming, data analysis, and quantum computing, addressing reproducibility and onboarding challenges in quantum ML.