During May 2026, contributed to the weaviate/weaviate repository by developing a DigitalOcean text-to-vector module that expanded cloud-provider interoperability within Weaviate’s vectorization pipeline. This work involved integrating DigitalOcean’s serverless inference API to enable on-demand embedding generation from text inputs, ensuring compatibility with the existing multi-backend architecture. The approach leveraged Go for backend development and focused on robust API integration, allowing downstream applications to benefit from lower latency and scalable embeddings. No major bugs were reported or fixed during this period, and the work emphasized seamless extension of provider support while maintaining project health and cross-team collaboration throughout the process.