AI systems in production
Arafat has built and iterated on AI products that leave the lab and enter real operations — assistants that remember context, tools that take action, and interfaces owners can trust under pressure. That means prompt architecture, tool calling, memory, approvals, and failure handling — not just a pretty chat UI.
His work spans connecting language models to calendars, finance records, messaging channels, CRM notes, and operational dashboards so AI becomes a working teammate instead of a novelty.
