GCP Cloud Engineer

Engineering scalable, production-ready AI ecosystems on Google Cloud

I am a GCP 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 GCP Cloud Engineer & Full Stack Developer focused on Serverless Infrastructure. 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 data sovereignty.

What I Build

I engineer Cloud-native infrastructures and high-performance RAG pipelines that transform unstructured data into strategic assets. As a Google GEAR member, I focus on identifying high-value technical bottlenecks where Agentic AI can automate complex business logic, creating scalable competitive advantages through intelligent, GCP-optimized automation.

Technical Foundation

This platform is a production-ready ecosystem orchestrated on Google Cloud (Cloud Run) using a Serverless containerized approach. The architecture features a PostgreSQL VectorDB for semantic intelligence, integrated with GCP Secret Manager for security and a professional CI/CD workflow via GitHub Actions 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
  • Next.js
  • TypeScript Primary
  • Sass/BEM

Backend & AI

  • Django 5.x Primary
  • Node.js Primary
  • Python
  • Gemini 1.5 Pro / LLMs

Data & Vector Search

  • PostgreSQL Primary
  • pgvector Primary
  • Supabase / Cloud SQL
  • REST & GraphQL APIs

Cloud & DevOps

  • Google Cloud (GCP) Focus
  • Cloud Run / Docker
  • GitHub Actions CI/CD
  • Artifact Registry

How I Work

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

01

AI-First Architecture

Designing systems ready for LLM integration and RAG pipelines that leverage semantic search and autonomous decision-making.

02

Scalable System Design

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

03

Modern DevOps Culture

Prioritizing containerization (Docker) and automated deployments on GCP that enable rapid iteration and production confidence.

04

Continuous Evolution

Actively mastering the Google Cloud AI path and staying ahead of emerging technologies in the Agentic AI landscape.

05

Security & Performance

Enforcing best practices for data integrity, API speed, CSRF protection, and secure Secrets Management on Cloud SQL.

I thrive in environments where thoughtful architecture, cross-functional communication, and technical foresight are essential.

Beyond Code

Global Perspective & Ethics

Fluent in Italian, German, and English, I thrive in international hubs like Frankfurt. My background in International Relations provides a unique edge in AI: the ability to navigate the ethical, regulatory, and cross-cultural implications of deploying intelligent systems in global markets.

AI-Centric UX Mindset

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

SaaS & Product Strategy

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

Architecting with AI

Moving beyond simple tool usage, I am mastering the orchestration of AI workflows. I focus on building reliable pipelines that leverage the strengths of Gemini and other LLMs while maintaining production-grade stability.

What I'm Looking For

I'm seeking roles in Frankfurt or EU-wide where I can apply my full-stack foundation to AI-driven challenges. I'm particularly interested in:

AI-Native Product Engineering

Agentic Workflows & LLM Orchestration

Scalable Backend Architectures

Python/Django Systems & Cloud Infrastructure

Search & Data Intelligence

RAG Pipelines & Vector Database Systems

Cloud-Native Solutions

GCP/Docker & Modern DevOps Culture

I'm ready to help teams bridge the gap between traditional software and the next generation of autonomous digital solutions.

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