Akash Nayyar worked on stabilizing the IVFFlatPanorama benchmark workflow in the facebookresearch/faiss repository, focusing on improving the reliability and reproducibility of performance assessments. Using Python and leveraging his skills in benchmarking and bug fixing, he addressed a bug introduced during a previous merge by updating the benchmark script’s search call and removing redundant variables. This targeted fix ensured that benchmark outputs aligned with reference results, reducing noise and enabling consistent evaluation for researchers and engineers. Akash’s work enhanced the accuracy of IVFFlat-based workflows, supporting reproducible results across different environments and teams, and contributed to more dependable benchmarking processes.