@mzunain
Full-Stack AI Engineer | RAG & LLMs | Scaled Quran.com to 50M+ Users | Building at the intersection of AI and product engineering
Freelance AI/Full-Stack engineering, technical writing, consulting on RAG systems & LLM integrations, speaking at conferences, open-source collaboration, and remote/EU job opportunities.
Apr 27 · 9 min read · Building Production-Ready RAG: A Complete Architecture Guide Most RAG tutorials show you how to stuff documents into a vector database and query them with an LLM. That gets you a demo. It does not get you a production system. I've built RAG pipelines...
Join discussionApr 6 · 2 min read · Next.js has become my framework of choice for building production-ready full-stack applications. Here's how I leverage its powerful features. Why Next.js? Complete Full-Stack Solution Server and client components Built-in API routes Automatic code s...
Join discussionApr 6 · 4 min read · Quran.com is one of the most-visited Islamic websites in the world. During my time there as a Full Stack Engineer, the platform crossed 50 million monthly active users — a milestone that forced us to rethink nearly every assumption we'd made about ar...
Join discussionApr 6 · 5 min read · If you've built more than a toy RAG prototype, you already know that the hard part isn't connecting an LLM to a vector database. The hard part is everything that comes after: degraded retrieval qualit
Join discussionApr 4 · 4 min read · Quran.com is one of the most-visited Islamic websites in the world. During my time there as a Full Stack Engineer, the platform crossed 50 million monthly active users — a milestone that forced us to
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