AI Agent Engineering
Multi-agent architecture, routing logic, sub-agent specialization, memory systems, automation loops, tool usage, and self-improving workflows.
I'm Fayez Hassoun — a Berlin-based performance marketing operator turned AI builder. I design agentic systems that automate campaign workflows, compliance checks, reporting, routing, and marketing operations.
I don't just use AI for marketing. I build the connected systems that help marketing teams think, remember, decide, and execute faster.
Most AI-for-marketing profiles fall into one of two categories: marketers who learned prompting, or engineers who don't understand real ad operations.
I sit between both worlds. I've operated inside real performance marketing teams, managed high-spend accounts, handled compliance pressure, optimized bids and budgets, and built campaign systems across multiple countries.
That operator experience now shapes how I build AI systems. My agents are designed around real marketing workflows: decisions, approvals, risks, exceptions, data, memory, and repeatable execution.
Multi-agent architecture, routing logic, sub-agent specialization, memory systems, automation loops, tool usage, and self-improving workflows.
Budget management, bid adjustment logic, campaign QA, reporting automation, creative workflow support, placement exclusions, and performance decision systems.
Rule-based scanners, weighted risk scoring, landing page checks, AI-generated fix suggestions, report export, and policy-focused workflows.
Turning marketing operations into structured AI workflows, SaaS features, internal tools, and repeatable productized systems.
I understand the pressure of live campaigns, real budgets, rejected ads, unstable CPAs, scaling windows, and manual reporting. I also understand how to turn those workflows into systems: agents, automations, scanners, memory layers, dashboards, and decision engines. That combination is what makes my work different.
Agent meshes, memory layers, tool wiring, and routing logic — designed to run, not to chat.
Decisions, actions, and follow-throughs — the dashboard is the side effect, not the product.
Workflows shaped by years of running real ad accounts under real budget and compliance pressure.
For ad tech and SaaS teams building AI-native marketing products. I shape product surfaces around real operator workflows.
For teams that need someone who understands both campaign operations and AI workflows — and can wire them together.
For AI-native marketing tooling, compliance automation, and performance workflow SaaS — built operator-first.
For marketing organizations that want to implement AI agents into daily operations — from audit to architecture to rollout.
I work at the intersection of performance marketing, AI agents, memory systems, and workflow automation. If your team is still relying on manual checks, scattered dashboards, repetitive reporting, and slow campaign decisions, I can help design the intelligent systems around those workflows.