OPERATIONS · AUTOMATION · AI
I turn real operations into working systems.
Mechanical foundations, production experience, software, automation and AI connected around real problems.
Lelystad, Netherlands · Italian · Spanish · English · Dutch learning
THE FOUNDATION
Before code, there were machines and operations.
My technical path started with turning and milling, then PLC and CNC fundamentals, production machinery, quality and process safety.
Software came later. That is why I do not see automation as something abstract: I see machines, people, handovers, failures, data and the system around them.
I did not leave operations behind. I learned to encode them.
See my industrial background
Turning + milling
Technical diploma and mechanical foundation
CNC + PLC
One-year specialization in CNC lathe, CNC milling and PLC
Production
Machinery, quality checks and process discipline
Automation
Software, APIs, workflows and AI systems
I did not leave operations behind. I learned to encode them.
Same drive.
Different tools.
Greater impact.
WORKING SYSTEMS
Software is one part of the system.
These projects show how I move from an operational problem to a working product, automation or AI architecture.
01
Multi-agent AI system
NEXUS / OLIMPO
A practical orchestration system built around specialist agents, memory, routing, approval gates and provider fallback.
02
Industrial workflow platform
CleanFood Ops
Operational software for shift handovers, machines, PPE, photo evidence, signatures, audits and reporting.
03
Training and nutrition product
NEXUS Gym
A web and mobile-oriented product for workout progression, food logging, cloud sync and AI-assisted features.
04
Job-search copilot
Ganesha
A Netherlands-focused exploration of structured job discovery, semantic matching and practical job-search support.
NEXUS / OLIMPO
AI agents need architecture, not mythology.
Olimpo is my operating-system concept for specialist agents, scoped memory, controlled handoffs, voice routing and approval gates.
Explore Olimpo12
Core specialist agents
IRIS
Voice gateway and routing layer
Memory
Session, episodic, semantic and shared
Gate
Approval before sensitive actions
How I work
Observe
Model
Build
Break
Verify
Improve
I imagine the solved system first, then work backwards until the smallest useful architecture becomes clear. After that, I try to break it before a user does.
Tools follow the system.
Software
- Python
- TypeScript
- JavaScript
- React
- Node.js
- FastAPI
Data + Backend
- Supabase
- PostgreSQL
- REST APIs
- Webhooks
- SQLite
Automation
- n8n
- Telegram
- WhatsApp workflows
- MCP
- Integrations
Applied AI
- Claude
- OpenAI
- AI agents
- Multi-agent systems
- RAG / memory
- Structured outputs
Engineering
- Git
- GitHub
- Docker
- Vercel
- Automated testing
- CI/CD fundamentals
Physical systems
- PLC / CNC fundamentals
- ESP32
- Arduino
- Sensors / GPIO
- Machine workflows
EVIDENCE
Technical foundation + continuous learning.
- 01
Diploma
Turner + milling machinist
CNOS-FAP · Italy
- 02
Specialization
CNC lathe · CNC milling · PLC
One extra year
- 03
Technical drawing
AutoCAD
Read + draw technical drawings
- 04
Anthropic Academy
Claude 101 · Agent Skills
AI Fluency · Capabilities & Limitations
- 05
Google
Prompting Essentials
Cloud Digital Leader training
- 06
In production
CleanFood Ops · NEXUS Gym · Ganesha
Live products you can open
I am looking for the next real system to understand and improve.
I am especially interested in technical maintenance, automation, industrial software and roles where mechanical thinking and digital systems meet.