During February 2025, Amala Sanjay enhanced the NVIDIA/Megatron-LM repository by expanding its benchmarking capabilities for multimodal AI models. She implemented support for the OCRBenchV2 and RD-TableBench datasets, developing Python evaluation scripts and integrating them into the existing evaluation framework. This work leveraged her skills in benchmarking, data processing, and scripting to enable more comprehensive and diverse performance assessments. By broadening the range of supported datasets, Amala addressed the need for robust evaluation across different modalities. The depth of her contribution lies in seamless integration and extensibility, ensuring that future benchmarking efforts can build on this foundation with minimal friction.