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AndreaProzzo21/README.md

👋 Hi, I'm Andrea Prozzo

🎓 Digital Automation Engineering student passionate about software development, distributed systems, and intelligent automation. I bridge the gap between IoT Core and Cloud Computing to build data-driven industrial applications.

🚀 About Me

  • ☁️ Exploring Cloud Computing and Infrastructure as Code (IaC)
  • 🧠 Building Predictive Maintenance solutions using Machine Learning
  • 🏗️ Designing scalable Microservices for real-world connected devices
  • 📟 Working daily with ESP32, Raspberry Pi, and MQTT environments

🛠️ Tech Stack & Tools

  • Programming: Python, C++, JavaScript (React), HTML/CSS
  • Cloud & DevOps: AWS (EC2), Terraform, Docker & Docker Compose, Git
  • Backend & APIs: FastAPI, Flask, REST architectures
  • IoT & Messaging: MQTT (Mosquitto), IoT Core fundamentals
  • Data & Monitoring: InfluxDB, Postgres, SQL Alchemy, Grafana
  • Automation: n8n workflows, Python scripting
  • AI/ML: Scikit-Learn (Supervised Learning), Data Processing

📌 Featured Projects

🏭 Cloud-Native Predictive Maintenance Pipeline

A complete E2E pipeline for industrial assets, provisioned on AWS via Terraform.

  • Digital Twin: Python-based simulators modeling pump degradation (ISO 10816).
  • AI Inference: Real-time health classification using Random Forest.
  • Monitoring: Live dashboard built with React and FastAPI.
  • Storage: Time-series data management with InfluxDB.

🔥 Modular IoT Platform

A containerized and scalable IoT ecosystem including:

  • High-throughput MQTT data ingestion
  • Persistent storage and historical data analysis
  • Custom monitoring dashboards
  • FastAPI protected endpoints
  • Telegram Bot + n8n workflow as a conversational UI

🤖 Bots & Automation Tools

  • Custom bots for task automation and system notifications, newsletter
  • Custom bots that leverage AI in various context
  • Complex workflow automation using n8n
  • Deployment and monitoring scripts

🌱 Currently Learning

  • Cloud Infrastructure: Deepening AWS services and Terraform automation
  • Full-Stack Development: Improving system design and developement for industrial applications
  • Edge-to-Cloud Integration: Optimizing data flow between local devices and cloud providers

📫 Connect With Me

✨ Goal

To grow as an engineer and contribute to innovative projects at the intersection of Automation, Cloud-Native Infrastructure, and IoT Technologies.

Popular repositories Loading

  1. AndreaProzzo21 AndreaProzzo21 Public

    Config files for my GitHub profile.

  2. Portfolio Portfolio Public

    It contains files used for my online portfolio. A simple html website where you can find all my projects, curriculum and contacts

    HTML

  3. control-center-bot control-center-bot Public

    A modular, self-hosted Telegram Personal Assistant built with Python and n8n. Features AI integration (Gemini), weather updates, expense tracking, and media suggestions. Fully Dockerized.

    Python

  4. PokemonTCG-App PokemonTCG-App Public

    A full-stack Pokémon TCG dashboard. This app lets you search the global Pokémon database and build your own local collection. Built with a clean Python backend and a modern, easy-to-use web interfa…

    Python

  5. ml-loan-risk-assessment ml-loan-risk-assessment Public

    A dual-task Machine Learning pipeline for predicting loan approvals (Classification) and estimating credit risk scores (Regression) using Scikit-Learn. Features automated model comparison, hyperpar…

    Python

  6. Edge-Cloud-PdM-Pipeline Edge-Cloud-PdM-Pipeline Public

    A cloud-native Predictive Maintenance (PdM) ecosystem featuring a Python-based Digital Twin, an AWS MLOps pipeline, and real-time Random Forest inference. Engineered with a decoupled microservices …

    Python