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Hi, I’m Andrea Zanetti, a software engineer focused on AI-powered systems, multi-agent architectures, and data science. I design scalable backend services and ML-driven workflows using NestJS, Node.js, Docker, and cloud platforms, from IoT data pipelines to real-time dashboards and anomaly detection systems. I enjoy turning complex problems into practical, maintainable solutions and collaborating across teams to deliver measurable value. I’m passionate about AI research and practical software engineering, and I’m committed to mentoring others and sharing knowledge. I thrive in fast-paced environments and love building robust systems that combine solid engineering with innovative AI capabilities.…Hi, I’m Andrea Zanetti, a software engineer focused on AI-powered systems, multi-agent architectures, and data science. I design scalable backend services and ML-driven workflows using NestJS, Node.js, Docker, and cloud platforms, from IoT data pipelines to real-time dashboards and anomaly detection systems. I enjoy turning complex problems into practical, maintainable solutions and collaborating across teams to deliver measurable value. I’m passionate about AI research and practical software engineering, and I’m committed to mentoring others and sharing knowledge. I thrive in fast-paced environments and love building robust systems that combine solid engineering with innovative AI capabilities.

Andrea Zanetti

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Andrea Zanetti, a software engineer focused on AI-powered systems, multi-agent architectures, and data science. I design scalable backend services and ML-driven workflows using NestJS, Node.js, Docker, and cloud platforms, from IoT data pipelines to real-time dashboards and anomaly detection systems. I enjoy turning complex problems into practical, maintainable solutions and collaborating across teams to deliver measurable value. I’m passionate about AI research and practical software engineering, and I’m committed to mentoring others and sharing knowledge. I thrive in fast-paced environments and love building robust systems that combine solid engineering with innovative AI capabilities.…Hi, I’m Andrea Zanetti, a software engineer focused on AI-powered systems, multi-agent architectures, and data science. I design scalable backend services and ML-driven workflows using NestJS, Node.js, Docker, and cloud platforms, from IoT data pipelines to real-time dashboards and anomaly detection systems. I enjoy turning complex problems into practical, maintainable solutions and collaborating across teams to deliver measurable value. I’m passionate about AI research and practical software engineering, and I’m committed to mentoring others and sharing knowledge. I thrive in fast-paced environments and love building robust systems that combine solid engineering with innovative AI capabilities.

Available to hire

Hi, I’m Andrea Zanetti, a software engineer focused on AI-powered systems, multi-agent architectures, and data science. I design scalable backend services and ML-driven workflows using NestJS, Node.js, Docker, and cloud platforms, from IoT data pipelines to real-time dashboards and anomaly detection systems. I enjoy turning complex problems into practical, maintainable solutions and collaborating across teams to deliver measurable value.

I’m passionate about AI research and practical software engineering, and I’m committed to mentoring others and sharing knowledge. I thrive in fast-paced environments and love building robust systems that combine solid engineering with innovative AI capabilities.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Italian

Fluent

English

Fluent

Work Experience

AI System Architect (Bender Multi-Agent AI System) at Self-Directed Project / Bender

July 1, 2024 - Present

Architected a multi-agent system using Lang Graph with an intelligent LLM-powered supervisor node for dynamic routing between specialized agents (RAG Agent, Tag Finder, InfluxDB Query Maker, Dashboard Builder). Implemented Qdrant vector DB with semantic search, cosine distance optimization, and real-time MQTT syncing via MongoDB change streams for IoT tag management. Built production-ready microservice architecture using NestJS with Fastify, Redis session management, rate limiting, and multi-stage Docker containers. Created CI/CD pipeline with GitHub Actions for automated building, linting, testing, container registry publishing, and AI-powered documentation updates using Claude. Implemented real-time PV anomaly detection with TensorFlow, achieving 96% accuracy; performed feature engineering on time-series and weather data with Pandas, NumPy, and scikit-learn, and deployed AWS Lambda architecture for scalable report generation.

Computer Science Teacher at Treviso High School, Treviso, Italy

June 1, 2024 - October 7, 2025

Taught Computer Science at high school, covering OOP, data structures, algorithms, and database design; developed curriculum and exercises for students.

System Architect - Multi-Agent AI System at Bender

July 1, 2024 - Present

Architected a multi-agent AI system with a Lang Graph state graph and intelligent LLM-powered supervisor node for dynamic routing between specialized agents; implemented production-ready microservice architecture using NestJS with Fastify, Redis sessions, rate limiting, and multi-stage Docker containerization; built CI/CD pipelines with GitHub Actions; created real-time monitoring and data pipelines for IoT and photovoltaic systems; implemented AWS Lambda-based concurrent reporting and an IoT tag management MQTT pipeline; led dashboards and data visualization.

Computer Science Teacher at Treviso High School

June 1, 2024 - October 7, 2025

Taught Computer Science at a high school level, covering OOP, data structures and algorithms, and database design.

AI & Software Engineer at Innovation System

July 1, 2024 - Present

Architected a multi-agent AI system using Lang Graph with an intelligent LLM-powered supervisor node for dynamic routing between specialized agents (RAG Agent, Tag Finder, InfluxDB Query Maker, Dashboard Builder). Implemented Qdrant vector DB with semantic search, cosine distance optimization, and real-time MQTT synchronization pipeline with MongoDB change streams for IoT tag management. Built production-ready microservice architecture using NestJS with Fastify, Redis session management, rate limiting, and multi-stage Docker containerization. Created CI/CD pipeline with GitHub Actions for automated building, linting, testing, container registry publishing, and AI-powered documentation updates using Claude. Built real-time monitoring for photovoltaic installations with Python and TensorFlow achieving 96% detection accuracy. Applied feature engineering on time-series and weather data using pandas, NumPy, and scikit-learn for predictive analytics. Implemented AWS Lambda architecture for c

Teacher at ITIS E. Fermi, Vicenza

June 1, 2024 - October 7, 2025

Taught Computer Science at high school covering OOP, data structures, algorithms, and database design.