AI Engineer

Ph.D. in Computer Science specializing in Deep Learning and Computer Vision. Architecting end-to-end RAG systems, multimodal document understanding, and advanced data extraction pipelines.

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Skills

Programming Languages

Python, Java, JavaScript, C#, C++

Machine Learning

PyTorch, PyTorch Lightning, PyTorchVideo, TensorFlow, Scikit-learn, OpenCV, Hugging Face, Jupyter, Anaconda

Tools & Technologies

Flutter, Native Android, .NET, Django, Node.js, PostgreSQL, MongoDB, Git, Docker

Research

Computer Vision, Machine Learning, Deep Learning

Languages

Italian, English

Experience

AI Engineer — BV TECH

Sep 2025 — Present
Milan, Italy
  • Designed and implemented RAG systems end-to-end, covering document data extraction, preprocessing, retrieval architecture, and flow design.
  • Developed document processing pipelines with OCR, NER, and multimodal models to ensure high-quality, structured data.

Software Engineer — Gest IoT

Mar 2021 — Aug 2025
Catania, Italy
  • Developed architectures for managing, decoding, and translating data from LoRaWAN, WMBus, NB-IoT, and MQTT protocols, embedding AI modules for anomaly detection and predictive analytics on time-series.
  • Designed and developed Android applications for WMBus data collection and workforce management, integrating AI modules for image analysis and OCR-based text recognition.

Research Fellow — IPLAB

Sep 2019 — Sep 2020
University of Catania · Catania, Italy
  • Designed and developed unsupervised domain adaptation algorithms for object detection.
  • Developed deep learning algorithms for processing egocentric data captured through Mixed Reality devices.

Intern — STMicroelectronics

Mar 2019 — Jul 2019
Catania, Italy
  • Designed and developed an anomaly detection system integrating forecasting and anomaly detection models through a voting-based decision mechanism.

Education

Ph.D. in Computer Science

2020 — 2023
University of Catania · Machine Learning, Deep Learning, Computer Vision

Master's Degree in Computer Science

2018 — 2020
University of Catania · 110/110 cum laude

Bachelor's Degree in Computer Science

2015 — 2018
University of Catania · 110/110 cum laude

Publications

MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks G. Pasqualino, L. Guarnera, A. Ortis, S. Battiato Computers in Biology and Medicine (CBM), 2024
Paper MITS-GAN ★ — —
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites through Adversarial Learning and Self-Training G. Pasqualino, A. Furnari, G. M. Farinella Computer Vision and Image Understanding (CVIU), 2022
Paper STMDA-RetinaNet ★ — —
An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites G. Pasqualino, A. Furnari, G. Signorello, G.M. Farinella Image and Vision Computing (IMAVIS), 2021
Paper DA-RetinaNet ★ — —

Side Projects

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