Mahdi Bani

Mahdi Bani - Full-Stack & AI Engineer - Multi-Tenant SaaS Platform | Himalayas MB Mahdi Bani @mahdibani AI engineer (backend roots) building production LLM systems — agents, RAG, document AI. I own the reliability, cost & guardrails that keep AI honest. What I'm looking for A remote role on a team building real LLM products, agents, RAG, document/voice AI, or AI infra, where engineers own systems end-to-end, not ticket-by-ticket. Hand me aproblem and the outcome, and I'll own the hard half: reliability, cost, guardrails. I'm fully remote with complete EU overlap (plus solid US hours), so timezone is a non-issue. Long-term: making AI dependable in production. I'm an AI engineer with a backend foundation. I build and operate production LLM systems end-to-end — document AI, LLM agents, RAG, and automation, and I focus on the part most people skip: making AI dependable in production. Reliability, cost, guardrails, testing, observability, the unglamorous work that decides whether an AI feature survives contact with real users. Most of my experience is ownership at the deep end. I solo-built and run a multi-tenant AI platform as the entire engineering function for a non-technical company: LLM agents on WhatsApp and inbound voice (Claude tool-use, Deepgram, ElevenLabs) with deterministic guardrails, two-way Microsoft 365 sync, real-time WebSockets, and a Dockerized FastAPI + Celery backend — 20 API services and 18 data models across the stack. In parallel I built and own a production document-AI pipeline (54 document types, GPT-4o vision + DSPy) where I cut LLM inference cost 5.7× while holding 88% F1, backed by 438+ automated tests in CI and a cost-tracking dashboard that made real AI spend observable. I'm also the person who keeps AI running when the ground shifts: I've contained a DSPy major-version break, a litellm supply-chain compromise (in under an hour), and breaking voice/Meta API migrations before any of it reached users. Earlier I built a crypto-exch