AI Engineer
Building intelligent systems from research to production.
Designing and building end-to-end AI solutions including Agentic RAG systems, multimodal document understanding, computer vision models, and data-driven IoT analytics. Ph.D. in Computer Science with a strong engineering foundation.
Generative AI
& RAG
Multimodal AI
& NLP
Computer Vision
& Object Detection
ML Engineering
& Data
Agentic AI
& LLM Systems
Professional Experience
Sep 2025 — Present
AI Engineer
BV TECHDesigning and implementing end-to-end RAG systems and production AI solutions. Working with LLMs, OCR, NER, multimodal models, and vector databases. Building scalable FastAPI services and resilient data extraction pipelines for production deployment.
Mar 2021 — Aug 2025
Software Engineer
Gest IoTDeveloping architectures for managing, decoding, and translating data from WMBus, NB-IoT, and MQTT protocols, embedding AI modules for anomaly detection and predictive analytics on time-series. Designing and developing Android applications for WMBus data collection and workforce management, integrating AI modules for image analysis and OCR-based text recognition.
Sep 2019 — Sep 2020
Research Fellow
IPLAB · University of CataniaDesigning and developing unsupervised domain adaptation algorithms for object detection and deep learning algorithms for processing egocentric data captured through Mixed Reality devices.
Mar 2019 — Jul 2019
Machine Learning Intern
STMicroelectronicsDesigning and developing an anomaly detection system integrating forecasting and anomaly detection models through a voting-based decision mechanism on semiconductor manufacturing time-series.
Research & Publications
A Multi Camera Unsupervised Domain Adaptation Pipeline for Object Detection in Cultural Sites
An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites
Engineering Stack
AI & ML
Python, PyTorch, PyTorch Lightning, TensorFlow, Hugging Face, Scikit-learn, OpenCV, LangChain, LangGraph
Backend & Data
FastAPI, PostgreSQL, MongoDB, Redis, Pandas
DevOps & Tools
Docker, Git, Linux, AWS, CI/CD, MLflow, Jupyter
Other Languages
Java, C++, C#, JavaScript, TypeScript, Flutter
Education
Ph.D. in Computer Science
University of Catania, Italy 2020 — 2023 · Machine Learning, Deep Learning, Computer VisionM.Sc. in Computer Science
University of Catania, Italy 2018 — 2020 · 110/110 cum laudeB.Sc. in Computer Science
University of Catania, Italy 2015 — 2018 · 110/110 cum laudeSide Projects
agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn and implement Retrieval-Augmented Generation Agents in minutes with multi-agent workflows.
chunky
Open-source toolkit for reliable RAG pipelines: convert PDFs to Markdown, clean documents, inspect chunks, compare chunking strategies, and enrich metadata for LLMs.
DA-Faster-RCNN
Detectron2 implementation of Domain Adaptive Faster R-CNN for Object Detection in the Wild, addressing domain shifts in computer vision (CVPR).