Answers you can trust
Retrieval tuned against your own content, with the eval set that proves it — so you can tell a correct answer from a merely confident one.
Services
I build retrieval-augmented systems and tool-using agents that run in production — grounded in your own data, with evals, guardrails and monitoring designed in from the start rather than bolted on after the demo.
Bashar Ayyash builds production AI systems: retrieval-augmented generation grounded in a client’s own data, tool-using agents wired into the services a team already runs, and the evaluation, guardrail and monitoring layers that keep them trustworthy. Engagements cover retrieval design, agent architecture, LLM cost control, and handover to the team that will operate it.
Retrieval tuned against your own content, with the eval set that proves it — so you can tell a correct answer from a merely confident one.
Model routing, caching and token budgets measured per request, so spend scales with usage instead of surprising you at the end of the month.
Architecture notes, runbooks and a working local setup, so whoever inherits it can change it without calling me.
Four years inside a regulated bank, building production RAG and agent systems that answer in Arabic and English. The specifics are under NDA, but the shape is the point: real business data, real permission boundaries, evals that gate a release, and monitoring that tells you when retrieval quality has drifted. A regulated environment does not tolerate a demo layer.