GCP Cloud Engineer

Engineering scalable, production-ready AI ecosystems on Google Cloud

I am a Google Cloud Certified Associate Cloud Engineer & Full Stack Developer specialized in architecting serverless, production-ready AI ecosystems. My engineering approach is uniquely informed by a background in Strategic Systems Analysis, enabling me to bridge the gap between complex cloud infrastructures and the governance and scalability requirements of global organizations.

As an active member of the Google GEAR program, I focus on transforming business logic into AI-native infrastructure. I don't just build applications; I engineer high-performance Agentic Workflows and RAG pipelines that leverage Vertex AI and Vector Databases to turn unstructured data into actionable intelligence.

This platform serves as a live demonstration of Enterprise-grade Cloud Engineering. It is built on Google Cloud Platform (GCP), utilizing Cloud Run for elastic container orchestration and Secret Manager for industrial-grade security. Managed via a professional GitHub Actions CI/CD pipeline, it embodies a modern, Cloud-native approach to scalable and secure web deployment.

Profile & Strategy

I am a Google Cloud Certified Associate Cloud Engineer & Full Stack Developer focused on Serverless Infrastructure & Cloud Architecture.


My background in Strategic Systems Analysis, combined with fluency in English, German, and Italian, allows me to bridge the gap between technical complexity and the operational requirements of global B2B markets in Frankfurt and beyond.


My mission is to translate high-level business objectives into deep-tech execution, ensuring that Autonomous Agents and Agentic Workflows operate within secure, GCP-native architectures that prioritize strict German data sovereignty (GDPR/BDSG).

What I Build

I engineer enterprise Cloud-native infrastructures and high-performance RAG pipelines that transform unstructured data into strategic assets. As a Google Cloud Certified Cloud


Engineer and Google GEAR member, I focus on identifying high-value technical bottlenecks where Agentic AI can automate complex business logic, creating scalable competitive advantages through secure, GDPR-compliant GCP automation.

Technical Foundation

This platform is a production-ready ecosystem engineered on Google Cloud Platform (Cloud Run) using a Serverless containerized approach.


The architecture integrates a PostgreSQL VectorDB for semantic intelligence, secured with GCP Secret Manager, and deployed via a zero-downtime GitHub Actions CI/CD pipeline with automated SSL and DNS management.

What I Do

I engineer AI-ready full-stack applications with a focus on robust backend architectures, secure API design, and scalable cloud deployments. Here is a snapshot of my technical toolkit, bridging traditional web development with Agentic AI orchestration:

Frontend

  • React Primary
  • TypeScript Primary
  • Next.js
  • Sass / BEM

Backend & AI

  • Django 5.x Primary
  • Gemini API Primary
  • Node.js / Express Primary
  • Agentic Workflows / RAG

Data & Vector Search

  • PostgreSQL Primary
  • Cloud SQL / Supabase
  • Vector Databases
  • REST APIs

Cloud & DevOps

  • Google Cloud (GCP) Certified
  • Cloud Run / Docker Primary
  • GitHub Actions CI/CD
  • Secret Manager & Artifact Registry

How I Work

My development style balances architectural rigor with AI-driven innovation. I focus on building secure, production-grade systems designed to scale alongside emerging technologies and strict compliance requirements.

01

AI-First Architecture

Designing resilient systems built for Vertex AI integration, RAG pipelines, semantic vector search, and high-performance Agentic Workflows.

02

Scalable System Design

Decoupled backends and modular frontend components that grow with your business needs without incurring technical debt.

03

Modern DevOps & Cloud Native

Prioritizing containerization (Docker) and automated CI/CD deployments on GCP (Cloud Run) to ensure rapid iteration and zero-downtime releases.

04

Continuous Evolution & Mastery

Backing execution with official Google Cloud Certification (ACE) and advancing towards Enterprise Cloud Architecture in the agentic AI landscape.

05

Security & Data Sovereignty

Enforcing industrial-grade security via GCP Secret Manager, robust API design, and strict GDPR/BDSG compliance for European B2B ecosystems.

I thrive in environments where thoughtful architecture, strategic systems analysis, and technical foresight are essential.

Beyond Code

Global Perspective & Governance

Fluent in Italian, German, and English, I thrive in international hubs like Frankfurt. My background in International Relations provides a unique edge in AI Engineering: navigating regulatory frameworks (EU AI Act, GDPR/BDSG), data sovereignty, and the strategic implications of deploying intelligent systems.

AI-Centric UX Mindset

I approach UI/UX by focusing on how users interact with AI systems. I bridge technical constraints with human needs, ensuring that complex LLM outputs are presented through intuitive, reliable, and trustworthy interfaces.

SaaS & Product Strategy

I don't just write code; I explore SaaS product-market fit. I focus on identifying high-value bottlenecks where Agentic AI can automate complex business logic and create sustainable competitive advantages.

Enterprise AI Orchestration

Moving beyond basic tool integration, I design and deploy end-to-end Agentic Workflows. I build production-ready pipelines that leverage Vertex AI, Gemini models, and Vector DBs while maintaining enterprise-grade stability and security.

What I'm Looking For

I am seeking high-impact roles and consulting opportunities in Frankfurt or EU-wide (Remote/Hybrid) where I can combine certified GCP Cloud Engineering with production-grade AI Ecosystem Architecture. I am particularly focused on:

AI-Native Product Engineering

Agentic Workflows, Vertex AI & LLM Orchestration

Scalable Backend Architectures

Python (Django/FastAPI), Node.js & Microservices

Search & Data Intelligence

Enterprise RAG Pipelines & Vector DBs (pgvector)

Cloud-Native Infrastructure

GCP Serverless (Cloud Run), Docker & Automated CI/CD

I'm ready to help teams bridge the gap between traditional software and secure, enterprise-grade autonomous AI solutions.

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