During March 2026, this developer contributed to the embeddings-benchmark/mteb repository by delivering two new Perplexity pplx-embed-v1 embedding models, sized at 0.6B and 4B parameters, to expand multilingual capabilities. The work involved developing model configurations, curating and integrating new training datasets, and updating the perplexity_models.py module to support these additions. Leveraging Python and applying skills in data processing and machine learning, the developer focused on enhancing the model portfolio and benchmarking relevance for enterprise applications. Collaboration with other contributors was evident, and the updates provided broader multilingual coverage and improved evaluation tools for downstream teams and users.