Agentic AI systems
Design and deployment of multi-agent systems using ReAct loops, tool orchestration, and autonomous workflows — production-ready, not prototype.
ReActtool-callingmulti-agent
Taking on new engagements
I build AI agents that execute
I build AI agents that execute
— not just recommend.
Multi-agent systems, RAG pipelines, and production deployment. Autonomous workflows that ship into your stack — so your team scales output, not headcount.
Get in touch →
30 min · free
multi-agent runtime
Built and trusted in the field
Why it matters
Agentic AI is a business lever — not a science project.
The engineering earns its keep one way: more output, lower cost, shipped sooner — without growing the team.
Scale
Output, not headcount.
Agents handle the repetitive execution — retrieval, drafting, tool calls, follow-through — so your team spends its hours on judgment instead of busywork.
Speed
Weeks to production, not quarters.
You're done experimenting. I build on proven patterns and deploy into your stack — a working system in your hands, not another pilot in a sandbox.
Trust
Autonomy with guardrails.
Every agent runs inside evals, checks, and clean human handoffs — so it stays reliable exactly where reliability is non-negotiable.
What I build
Three things, built to run in production.
Not prototypes that demo well and die in a sandbox. Systems your teams actually use.
RAG & knowledge pipelines
Retrieval-augmented generation over your proprietary data — hybrid search, document ingestion, and semantic retrieval grounded in what your company actually knows.
hybrid searchpgvectoringestionsemantic retrieval
AI integration into workflows
Connecting AI agents to your existing software stack — APIs, ERP connectors, CRM, document management — so the system lands where your teams already work.
REST / APIsERPCRMDMS
Who it's for
Built for teams that move fast.
Production multi-agent systems on AWS, secure by design — the same engineering I've shipped in heavy, regulated operations, delivered at startup speed.
01AI-first startups & scale-ups shipping agent features
02Product & software teams adding AI without hiring an ML team
03Founder- or owner-led companies that can greenlight in a week
04Agencies & consultancies that need an AI build partner
Yazid Elbouachi · CEO
Why me — not a generalist
I've shipped the thing I'm selling.
I know when a problem needs an agent, when a plain workflow wins, and when AI isn't the answer at all — the judgment that separates systems that ship from pilots that stall.
01
Built and shipped a production agentic platform
Vectron — 57 tools, live with Tier-1 Hong Kong contractors. A real system in real operations, not a demo.
02
Civil Engineering PhD Candidate, HKUST
HKPFS Fellow — Hong Kong's most competitive doctoral fellowship. Deep technical grounding, not a weekend bootcamp.
03
On-site construction experience
Field engineering at Bouygues Construction and Eiffage. I understand the operations AI is supposed to improve.
04
ML / DL certified, Stanford Online
Formal machine-learning and deep-learning foundations behind the engineering judgment.
How it works
Three steps. No ambiguity.
Step 01
Discovery call
30 min, free. We define your problem and whether I can actually solve it. If I can't, I'll tell you.
Step 02
Scoped engagement
Fixed-price or day-rate, a defined deliverable, and a clear boundary. You know exactly what you're getting.
Step 03
Delivery
A working system, documented and handed over to your team — built to keep running after I'm gone.
Taking on new engagements
Let's build something that ships.
Bring a real problem — tell me what you're trying to automate and I'll give you a straight answer on whether I can solve it.
Prefer email? Reach me directly at yazid.elbouachi@vectron.dev