Abdul Rauf Khan

This project wasn’t about adding more visual noise, it was about creating a focused, modern real estate experience that guides users naturally toward action.

Key priorities during the build: • Clean, premium visual hierarchy • Fast, responsive Framer performance • Scan-friendly...

During Juno RAG’s build, it became clear that embeddings alone don’t guarantee trustworthy answers. High cosine similarity can still surface partially relevant or context-drifted chunks.

To address this, the pipeline was engineered with:

• Hybrid search (semantic + BM25) to...

Every RAG project looks straightforward until retrieval quality is tested in the real world.

While building Juno RAG, the biggest challenge wasn’t generating answers, it was making sure the answers were actually grounded in the client’s data.

Simple vector search wasn’t enough....

Hiring doesn’t slow down because teams lack candidates. It slows down because evaluation doesn’t scale.

So I engineered an enterprise-grade AI recruiting platform that automates the entire funnel, from resume parsing to intelligent video interviews and real-time hiring analytics.