--- title: "Vibeeshan Mahadeva (@Vibeeshan) | Hashnode" description: "Tech Enthusiast. Read the latest articles by Vibeeshan Mahadeva on Hashnode." url: "https://hashnode.com/@Vibeeshan" --- @Vibeeshan # Vibeeshan Mahadeva @Vibeeshan · London, United Kingdom · Joined September 2022 Tech Enthusiast ### [Large Language Models (LLM) as a Judge](https://audaicity.hashnode.dev/large-language-models-llm-as-a-judge?utm_source=hashnode&utm_medium=feed) Using Large Language Models (LLMs) to evaluate the performance of other LLMs or Generative AI applications. 4 min read · [audaicity.hashnode.dev](https://audaicity.hashnode.dev/large-language-models-llm-as-a-judge?utm_source=hashnode&utm_medium=feed) [Feb 21, 2025](https://hashnode.com/posts/large-language-models-llm-as-a-judge/67b8faaa95a2c2e76d53f19c) ### [Scalable RAG with .NET and Relational Databases - Part 2](https://audaicity.hashnode.dev/scalable-rag-with-net-and-relational-databases-part-2?utm_source=hashnode&utm_medium=feed) Efficient storage and retrieval algorithms are critical to the performance of embedded databases because they directly impact how quickly and accurately queries can be executed. In the context of a Retrieval-Augmented Generation (RAG) system, where e... 3 min read · [audaicity.hashnode.dev](https://audaicity.hashnode.dev/scalable-rag-with-net-and-relational-databases-part-2?utm_source=hashnode&utm_medium=feed) [Jan 11, 2025](https://hashnode.com/posts/scalable-rag-with-net-and-relational-databases-part-2/6782eb26a56eb70e9826b682) ### [Scalable RAG with .NET and Relational Databases - Part 1](https://audaicity.hashnode.dev/scalable-rag-with-dot-net?utm_source=hashnode&utm_medium=feed) RAG based AI System to Handle 100M Embeddings in a Single Node using .NET and Postgres 7 min read · [audaicity.hashnode.dev](https://audaicity.hashnode.dev/scalable-rag-with-dot-net?utm_source=hashnode&utm_medium=feed) [Jan 8, 2025](https://hashnode.com/posts/scalable-rag-with-dot-net/677e9122bb08d08adb4f0380) ### [MLOps in an ML Team](https://blog.aizenit.com/mlops-in-an-ml-team?utm_source=hashnode&utm_medium=feed) Is it just the DevOps team in an ML project? 5 min read · [blog.aizenit.com](https://blog.aizenit.com/mlops-in-an-ml-team?utm_source=hashnode&utm_medium=feed) [Oct 5, 2022](https://hashnode.com/posts/mlops-in-an-ml-team/633d65d7873b7f08ce962c93)