Professional Overview
Computer vision engineer passionate about turning AI research into real-world applications. I specialize in computer vision, AI for images and video, and 3D graphics, and I enjoy building systems that understand the visual world in real time. In my projects, I have developed neural network models based on CNNs and YOLO for real-time detection and classification, from recognising human posture and gestures to analysing urban scenes with vehicles, roads and parking areas. I have also worked on an IoT system for agriculture and contributed to a graphical platform supporting grief processing, combining technology with psychology. I work daily in Python and C++, using PyTorch, TensorFlow, OpenCV and Git. I hold an MSc in Game and Media Technology from Utrecht University and a BSc in Computer Science from Sapienza University of Rome, and studying abroad has given me an excellent command of English. I am now looking for my first professional role, where I can grow alongside experienced engineers and help bring computer vision into industrial and research settings.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.