I'm Abhay Rana — an AI systems engineer from India.
I help founders, agencies, and operations-heavy teams build practical AI systems: private knowledge bases, support copilots, LLM-powered product features, and automations that connect to the tools they already use.
My goal is simple: turn messy documents, repeated questions, and manual workflows into systems that feel trustworthy, readable, and maintainable after launch.
Current focus
Private AI systems that retrieve, reason, and act.
Based in
India
Work style
Remote-first
Focus
RAG, LLMs & automation
Delivery
Source-code handoff
How I work
Clear scope, clean build, reliable handoff.
A good AI project is not only about prompts. It needs data boundaries, retrieval quality, useful UI, fallbacks, cost controls, and clear documentation so the client can trust the system after delivery.
Build around a real business workflow, not a vague AI demo.
Keep answers source-grounded whenever the system touches business knowledge.
Design clean interfaces so non-technical teams can actually adopt the tool.
Document the build, deployment, model costs, and ownership before handoff.
Stack I use
Modern AI and web tools for production-ready systems.
I choose tools based on reliability, ownership, and client context — not hype. The stack below is what I commonly use across RAG, LLM integration, automation, and full-stack delivery.