Riddhi Bhattacharjee developed the Unified Evaluation Pipeline Upgrade for the huggingface/feel repository, focusing on streamlining model evaluation and training workflows. She designed and implemented new dataset transformation modules and integrated Direct Preference Optimization (DPO) training components, enhancing the pipeline’s ability to process data and assess models efficiently. By refactoring evaluation scripts and introducing a master pipeline, Riddhi improved reproducibility and reduced setup time, enabling faster, end-to-end assessments. Her work leveraged Python for module orchestration and data processing, resulting in a maintainable and scalable framework. The upgrade addressed business needs for clearer evaluation results and improved throughput without introducing instability.