Zaid B.

Most "AI developers" can call an API. Few can ship the software around it like error handling, deployment, real data, the stuff that breaks in production. That's the part I'm good at. I build AI systems the way I build software: tested, maintainable, scalable, secure, and designed for the real world, not a demo. What I build: • Multi-agent systems with tool use, state, and human-in-the-loop checkpoints, not single-prompt wrappers • RAG that stays accurate at scale: hybrid retrieval, re-ranking, evals, and guardrails against hallucination • LLM features wired into real systems , auth, billing, existing DBs with cost and latency under control • Production hardening: evaluation pipelines, observability, fallback handling, and prompt/version management I've taken AI systems from prototype to production in healthcare and construction, most under NDA, so I'll walk you through the architecture directly. If you've got a half-working AI idea, a manual process that should be automated, or a tool that needs AI built into it properly, send me the details and I'll tell you straight whether and how it can be done. Zaid