Matteo De Rizzo
AI Engineer & Data Scientist

Matteo
De Rizzo

AI engineer with an MSc in Artificial Intelligence building synthetic minds, agentic systems, and data pipelines at the edge of what's possible.

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About

Building minds
from neurons to
neural nets

MSc
Artificial Intelligence
5+
Years Experience
6+
Published Research
RAG
Agentic Specialist

I'm an AI engineer with a deep obsession for building things that think. My background spans published epilepsy modelling, healthcare data engineering, and building fully autonomous AI entities from scratch.

Former IT Manager at HCS Group, where I led GDPR-compliant healthcare ETL pipelines and data infrastructure. Former Teaching Assistant at VU Amsterdam for Machine Learning and Data Analysis.

Currently building Chloe — a synthetic AI entity with emotional entropy, proactive agency, and an evolving personality. Not a chatbot. A mind.

When I'm not training models, I'm training in the gym, experimenting with plant care AI, or getting lost in lore-retrieval systems for Elden Ring.

Tech Stack
Languages
Python SQL R TypeScript Bash
Intelligence
Agentic AI RAG LLM APIs Scikit-learn XGBoost TensorFlow PyTorch
Neuro / Bio
fMRI Analysis EEG Epigenetics ViT Models NLP
Data Eng
Spark Airflow Docker PostgreSQL FastAPI ETL Pipelines
Selected Projects
01
Chloe — Autonomous AI Agent
An AI agent that runs autonomous routines, evolves behavioral patterns, and proactively messages based on context and boredom signals.
AI Agents LLM Orchestration Task Scheduling Behavior Modeling Knowledge Graph
02
Spotify Hit Predictor — 'Will It Hit?'
Predict whether your song will become a hit using machine learning and Spotify's audio features. Currently in development.
AI & Machine Learning React Python scikit-learn XGBoost Spotify API
03
Get My Life in Order
A productivity pipeline where task photos are analyzed by an LLM; validated completion unlocks Steam access.
AI Automation LLM Vision Prompt Engineering Automation Pipelines Rule-Based Validation
04
Bar Warehouse Database System
Full warehouse and stock management platform for a bar, focused on reliable inventory tracking and daily operations. Source code is private.
Full-Stack Supabase PostgreSQL SQL React TypeScript
05
RAGlite — Elden Ring Quiz
Personalized quiz generator using Retrieval-Augmented Generation, combining structured item data with contextual in-game lore — no vector libraries.
NLP & RAG Python Streamlit Groq LLM Custom Chunking
06
Push-Up Prediction from Sensor Data
Predicted push-up count using iPhone & Apple Watch sensor data with advanced signal processing. R² = 0.89 with Random Forest. Grade: 9.5/10 — VU Amsterdam.
Machine Learning Python FFT Random Forest Sensor Fusion Signal Processing
Experience
2023 — Present
AI Engineer & Independent Researcher
Self-directed · Remote
  • Building Chloe — a fully autonomous synthetic AI entity with emotional states, proactive agency, and evolving personality
  • Developing RAG systems, agentic workflows, and LLM-powered applications
  • Plant disease detection using ViT models (LeafCheck)
  • Research in multi-agent architectures and synthetic personality engineering
2022 — 2023
Teaching Assistant
Vrije Universiteit Amsterdam · Amsterdam, NL
  • TA for Machine Learning and Data Analysis courses
  • Mentored students through statistical modelling, Python programming, and ML fundamentals
2020 — 2022
IT Manager
HCS Group · Healthcare
  • Led GDPR-compliant healthcare data engineering initiatives
  • Designed and maintained secure ETL pipelines for patient data
  • Managed data infrastructure, reporting systems, and cross-team data governance
Education
2021 — 2023
MSc Artificial Intelligence
Vrije Universiteit Amsterdam
Specialisation in AI and Computational Modelling. Thesis on multi-layered neural models of epilepsy — published at the AIAI Conference.
2018 — 2021
BSc Psychology & Neuroscience
Vrije Universiteit Amsterdam
Foundation in cognitive science, biological psychology, statistical methods, and research design.
Research & Publications
Multi-Layered Neural Models of Epilepsy: A Computational Approach
AIAI Conference · 2023 · MSc Thesis — Vrije Universiteit Amsterdam
Published
Agentic Autonomy in Synthetic Personalities
Independent Research · Ongoing · Chloe Project
In Progress
From-Scratch RAG: Lore Retrieval Without Vector Libraries
Technical Report · 2023 · RAGlite / ERQ Project
Technical

Let's connect

Let's Build
Something.

Open to collaborations, research partnerships,
and conversations about minds — artificial or biological.

teoderizzoai@gmail.com GitHub → Download CV →