During June 2025, R Kaleem developed a benchmark progress visualization feature for the kaiyux/TensorRT-LLM repository, focusing on enhancing the benchmarking workflow. By integrating a tqdm progress bar into the Python-based benchmark utility, R Kaleem enabled real-time feedback as each performance item was registered, improving transparency and reducing idle time during long-running benchmarks. The work demonstrated proficiency in asynchronous programming, benchmarking, and performance analysis, with an emphasis on Python instrumentation. This targeted enhancement addressed the need for better observability and faster performance tuning, resulting in a more efficient and user-friendly benchmarking process without introducing or resolving any major bugs.