Available for new projects · Remote worldwide

    RAG Consultant

    RAG systems succeed or fail on the retrieval layer. I help teams design document ingestion, chunking, search, citations, and evaluation so answers are grounded in the right context rather than improvised from model memory.

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    What I can help with

    • Document ingestion, cleaning, and chunking strategy
    • Embeddings, vector databases, and hybrid search
    • Citation grounding and source traceability
    • Answer quality, retrieval quality, and groundedness evals
    • Production monitoring, feedback loops, and cost tuning

    Why work with me

    Remote-first, worldwide

    Fully remote delivery with clients across the US, Europe, and Asia — async-friendly and outcome-focused.

    Timezone overlap

    Based in Islamabad (PKT), with working-hours overlap into both US and European mornings/evenings.

    Fixed-price clarity

    Scoped proposals with clear deliverables and timelines — no open-ended retainers required to start.

    Fast, senior delivery

    Direct work with one experienced engineer — no account managers, no hand-offs, working software each sprint.

    Relevant services

    LLM / RAG Engineering

    Frequently asked questions

    Why do RAG systems hallucinate?
    RAG systems hallucinate when retrieval returns weak context, prompts force an answer, citations are not verified, or the system has no evals to catch regressions. The fix is usually retrieval quality plus groundedness checks.
    Can you improve an existing RAG system?
    Yes. Common improvements include better chunking, hybrid retrieval, reranking, source filtering, citation checks, eval datasets, and a clearer abstention path when evidence is missing.

    Let's talk about your project

    Tell me what you're working on and I'll come back with ideas, a scope, and next steps — usually within 24 hours. Free discovery call, no commitment.

    Start a project[email protected]