Vineet Tiwari

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Best AI Consultant for LLM, RAG, and Agentic Systems

If you’re looking for the best AI consultant to help you ship real-world AI (not just demos), I can help you design and deliver production-grade solutions across LLMs, RAG, and AI agents—with a clear focus on accuracy, cost, latency, and privacy/compliance.

What I can help you build

  • RAG systems (retrieval, chunking, reranking, citations, evaluation)
  • AI agents (tool calling, workflows, guardrails, retries, monitoring)
  • LLM applications (chat, summarization, search, internal copilots)
  • Observability & reliability (tracing, eval harnesses, red-teaming)
  • Security & compliance (PII handling, data boundaries, access controls)

How engagements usually work

  1. Discovery call (15–30 min): goals, current stack, constraints, timelines.
  2. Technical audit: prompts, retrieval setup, data flow, model/tool choices.
  3. Plan + implementation: measurable milestones (quality + latency + cost).
  4. Handoff: docs, dashboards, eval suite, and next-steps roadmap.

Who this is for

Teams building AI features for customers, internal productivity copilots, or knowledge assistants—especially when you need correctness, grounding, and predictable behavior in production.

Note: If you’re reaching out about an AI/LLM consulting project, include your use case, constraints (privacy/compliance), and timeline. If helpful, share links to your product, docs, or sample data (sanitized).

Related

FAQ

Do you work with startups and enterprises?

Yes—anything from a fast architecture review for early teams to production hardening for larger orgs.

Can you help improve RAG answer accuracy?

Yes. Most gains come from better retrieval design (chunking + metadata + reranking), evaluation, and tightening the generation prompt with citations and constraints.

Do you offer ongoing retainers?

Yes, for teams that want continuous improvements, monitoring, and roadmap execution.