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Arun Prasher – Generative AI Lab

Engineering the intersection of full-stack development and large language models.

genai.arunprasher.dev is a developer-focused space for building, dissecting, and deploying generative AI systems — from language models and retrieval-augmented generation (RAG) to vector databases, embeddings, and inference pipelines. Built with  Astro , Tailwind , and  shadcn/ui .

Explore articles , technical notes , and hands-on experiments covering topics like LLM integration, RAG pipelines, context management, and model evaluation. All projects and prototypes are open-sourced on  GitHub .

About This Lab

This lab explores practical generative AI engineering — designing prompt frameworks, optimizing inference latency, implementing retrieval layers, and blending traditional full-stack logic with emerging AI capabilities. Each post reflects real experimentation with modern AI tools, deployment strategies, and developer workflows that make large models usable at scale.

Recent Experiments and Articles