Hi, I'm Matteo Mugnai
Msc Double Degree in Data Science at Polimi and KTH
Passionate about machine learning and business development
My Experience
CTO & Co-founder
Unify
May 2025 - Jun 2026
Co-founded and owned the technical vision from the initial concept through to a successful exit via an equity sale.
- - Engineered the complete full-stack architecture from the ground up.
- - Architected end-to-end ETL pipelines to process and standardize complex, unstructured data.
- - Developed and deployed a custom ML recommender system to optimize user search and listing relevance.
AI Engineer Intern
3E Informatica
Feb 2025 – May 2025
Developed two core AI-driven applications leveraging Large Language Models:
- - HR AI Application: Architected a candidate ranking engine that translates natural language job descriptions into dynamic weights. Developed a C# API server and an NLP pipeline to parse and standardize CV data, utilizing Retrieval-Augmented Generation (RAG) to optimize SQL queries and matching algorithms.
- - Health Assistant Application: Prototyped and delivered a real-time, voice-enabled virtual assistant. Integrated LLM-driven logic with text-to-speech (TTS) and speech-to-text (STT) models to create a seamless, conversational user experience.
Teaching Assistant
Politecnico di Torino
Oct 2024 - Feb 2025
Gave teaching support to first-year students (~230 total) of the course “Computer Science” during their Python problem-solving sessions.
Backend Developer
IEEE - HKN
Oct 2023 - Feb 2025
As an IT member of the IEEE honors society, I contributed to the backend development of a web app that manages the recruiting process inside HKN Mu Nu Chapter. I worked on an API server using TypeScript, Nest.js, unit testing, and end-to-end testing.
My Education
Kungliga Tekniska högskolan
Double Master's degree in Data Science
Sep 2025 - Jul 2027
- Major: Data Science
- Minor: Business, Innovation & Entrepreneurship
Politecnico di Milano
Double Master's degree in Data Science
Sep 2025 - Jul 2027
- Major: Data Science
- Minor: Business, Innovation & Entrepreneurship
Politecnico di Torino
Bachelor's degree in Computer Engineering
Sep 2022 - Jul 2025
- Honors program: intraprendenti track (top 200 student)
- University team: CPP competitive programming team
- Student Association: IEEE - HKN Mu Nu Chapter
My Projects
RL Car Navigation from scratch
Made with: C++
This project implements a Reinforcement Learning (RL) agent that learns to control and navigate a car. Notably, all core Artificial Intelligence components, including the Deep Q-Network, neural network layers, and the Adam optimizer, are implemented entirely from scratch in C++, without reliance on external machine learning libraries.
Time-Series Pain Classification
Made with: PyTorch, Pandas
Bidirectional LSTM to classify human pain states from multivariate sensor data, achieving a 0.98 weighted F1-score.
Histopathology Image Classification
Made with: PyTorch, Pandas
Deep learning model to predict molecular subtypes from high-resolution tissue images using a custom tiling strategy and fine tuning a Phikon backbone.
Data Science Pipeline
Made with: Pandas, Scikit-learn
End-to-end data pipeline utilizing MICE for imputation, Jaro-Winkler record linkage for deduplication, and a hybrid IQR/LOF approach for multivariate outlier detection.
Facial Expression Recognition
Made with: PyTorch, Pandas
Convolutional Neural Network (CNN) using PyTorch to recognize emotion categories from facial images. Trained on FER2013 DataSet.
Heart Disease Detection
Made with: scikit-learn, XGBoost, Pandas, Matplotlib
Predict the presence of heart disease in patients building several models (Logistic Regression, Random Forest, XGBoost).
GPT Model
Made with: PyTorch
PyTorch-based implementation of a GPT model, trained on the FineWeb 10B dataset.
Trading Bot
Made with: Pandas, Numpy.
Trading bot that implements a trend following strategy using CCXT library. Users can adjust position size, target profits and stop-loss settings to suit their trading style and risk tolerance.
Technical Skills
SSMS