digital twin · v1.0

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online · trained on Fabrizio's backgound
DIGITAL TWIN· THINKING
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curriculum

Three decades up the stack — now all-in on agentic AI.

~/experience · 30+ years
2024 — now

GenAI Architect

TIM · Telecom Italia · Turin

Architect agentic-AI solutions for enterprise use cases — reference architectures, patterns and guidelines for GenAI. I run multiple PoCs and pilots, some into production; my fullest example is FAT2, an AI-assisted billing-document verification system.

2007 — 2024

Software Engineer

TIM · Telecom Italia · Turin

Designed and built TIM Group's unified web platform on Drupal — end-to-end responsibility across ~30 enterprise websites: requirements, architecture, development and operations, always for scale and time-to-market.

2003 — 2007

Software Engineer

Shared Service Center · Turin

Built the corporate intranet on SAP Portal in Java, serving roughly 100,000 employees. Where I learned what scale really does to your design choices.

1991 — 2003

Software Developer

Telesoft · Turin

Twelve years of low-level, performance-sensitive work: radiomobile coverage mapping and telephone-switch management. An early, deep respect for systems that must be correct and reliable, not just clever.

Capabilities

Agentic AILLMOpsRAG EvaluationGoogle CloudVertex AI GKE / KubernetesCloud-NativeLangGraph CrewAIMCPPython

Certifications

GoogleProfessional ML Engineer · 2025
GoogleProfessional Cloud Architect · 2025
GoogleArchitecting with GKE
Hugging FaceAI Agents Fundamentals · 2025
UdemyComplete Agentic AI Engineering · 2026

Profile

EducationM.Sc. Computer Science — University of Turin
Based inTurin, Italy · remote-friendly
LanguagesItalian (native) · English B2.2

about

A senior architect who codes — three decades of building real systems, now pointed entirely at making generative and agentic AI work inside large, regulated enterprises.

I'm a GenAI Architect in Turin with more than 30 years in software engineering and system architecture. My career has climbed every layer of the stack — low-level telecom systems, large web platforms, cloud-native, and now AI — and that long arc is what I value most about how I work today.

I think of myself as a bridge between business, engineering and operations, working end to end: requirements, architecture, framework selection, PoC, evaluation, deployment, and the operational side — observability and governance. My domain is enterprise AI platforms for large organisations, particularly Telco, where long specification cycles, multi-stakeholder alignment, regulation and legacy integration aren't an afterthought — they shape the architecture.

I'm hands-on: I build, evaluate and ship, with opinions formed from real implementations rather than slideware. I'm genuinely excited about LLMs and agents, but I care about evaluation, cost control and knowledge quality as much as the models themselves — because those are what decide whether enterprise AI succeeds or stalls.

— Fabrizio Amort, Turin