Simone Zacchetti

Machine Learning & Artificial Intelligence Engineer

Passionate about building elegant solutions to complex problems. Specialized in machine learning, web development, and cloud technologies.

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About Me

I'm a ML & AI Engineer with a passion for technology at 360°. With a background in computer science and engineering, I enjoy working at the intersection of software development and AI, from modern web applications to LLM integrations, automation systems, and data-driven products.

My journey in tech started with Bachelor Degree in Computer Engineering followed by a double Master Degree in Data Science. Beside that I participated in several hackathons and coding competitions, gaining hands-on experience in building innovative solutions.

Certifications

Projects

Universities

Working Experience

Multiverse Computing

Machine Learning Engineer

January 2026 - Present

Designing and deploying end-to-end ML and LLM solutions, from research and ideation to production.

Designed and deployed end-to-end ML solutions for football player performance prediction, improving evaluation metrics by 20-30%
Led a project from research and ideation to prototyping, with direct client interaction, developing a RAG pipeline and a Natural Language-to-SQL agent
Integrated open-source and proprietary LLMs into scalable web applications
Managed data pipelines and storage using PostgreSQL and vector databases

PythonLangChainLangGraphRAGPostgreSQLVector DB

Diagramma SRL

AI Engineer

June 2024 - October 2024

Brought AI features into insurance management software, focusing on document understanding and structured data extraction.

Integrated AI features into insurance management software
Developed LLM-based pipelines for structured data extraction from PDFs
Improved extraction accuracy by 15% through prompt engineering and evaluation
Worked with both open-source and proprietary LLMs
Designed automated workflows for document processing

PythonLLMsPrompt EngineeringDocument AI

SP di Maddè Stefano

Software Developer

June 2023 - September 2023

Full-stack development on Fiscal Web 21, a proprietary fiscal management software built with Django.

Developed full-stack features for Fiscal Web 21 (proprietary software) using Django (MVC architecture)
Managed backend logic, APIs, and database integration (PostgreSQL)
Contributed to front-end development and system design
Ensured data consistency and performance across application components

PythonDjangoPostgreSQLREST API

Academic Path

EIT Digital Master School

Double Master Degree in Data Science

2024 - 2026

Double degree program carried out between Politecnico di Milano and Universidad Politécnica de Madrid.

Universidad Politécnica de Madrid

M.Sc. Computer Science and Engineering

Politecnico di Milano

M.Sc. Computer Science and Engineering

Politecnico di Milano

B.Sc. Computer Science and Engineering

2020 - 2023

Portfolio

Natural Language Processing

This project involved the use of a dataset of recipes to apply various Natural Language Processing (NLP) techniques, from the easiest to the most advanced. We performed different preprocessing techniques, clustering, classifincation, and even implemented a simple chatbot exploiting different models, including LLMs, text-to-image, text-to-speech and speech-to-text.

PythonGitHubVSCode

AI Study

AI Study is a web application designed to revolutionize learning by combining powerful AI tools and proven cognitive tactics. Its objective is to ensure that the knowledge you acquire sticks with you long after exams are over, fostering durable and usable understanding. The demo is developed in Python, all in a single .ipynb file, exploiting open-source models from Hugging Face and gradio library for the UI.

Python

Neural Network & Deep Learning

Project is focused on creating deep neural networks for image classification of healthy and unhealthy leaves and time series forecasting.

PythonTensorFlow

Algorithms and Data Structures

It involves the implementation of an efficient algorithm for an elaborated minimum distance problem, capable of respecting time and space complexity constraints.

CCLion

Software Engineering

This project involves the development of a web application for the board game My Shelfie. It is implemented in Java, using the MVC architecture, exploiting the Socket and RMI architectures for the network infrastucture. It has some advanced features such as the capability of managing multiple games at the same time, and the disconnection resilience.

JavaGitHub

Hand tracking with Arduino

Implementation of a hand tracking system using Arduino and Python able to recognise through webcam how many fingers are raised and turn on the same amount of LEDs.

PythonPyCharmArduino

Hardware Design

Implementation of a hardware component using VHDL language.

Arduino

Certifications

Communication & Argumentation

A course rooted in rhetoric and argumentation, teaching how to be clear and persuasive in the domain of engineering studies.

TOEIC

English certificate with an evaluation of 945/990, equivalent to C1 level, demonstrating proficiency in listening and reading comprehension.

Peer to Peer Tutoring

Certification gained through the Peer to Peer Tutoring program, which involved tutoring students in various subjects in Politecnico di Milano.

Start Up 101

Course regarding the basics of starting a business, covering topics such as business models, market analysis, and financial planning.

AVEVA EcoTech Emerge

A challenge promoted by AVEVA, focused on developing an idea capable of joining AI and sustainability. In this context we developed an idea for a Flood Predicition System, capable of aggregate data from different sources to predict floods in a given area.

Free Tensorflow Keras Bootcamp

A free bootcamp focused on TensorFlow and Keras, covering the basics of deep learning and neural networks for computer vision tasks.

Cloud Machine Learning Engineering and MLOps

A course focused on the principles of MLOps and cloud machine learning engineering, covering best practices for deploying and managing machine learning models in production.

Virtualization, Docker, and Kubernetes for Data Engineering

A course focused on virtualization technologies, Docker, and Kubernetes, covering how to use these tools for data engineering tasks and deploying machine learning models.