Professional Overview
I am a Master’s student in Physics, specializing in Computer Vision, with academic experience at both the University of Padua and the University of Trento. My work has focused on applying computational techniques to visual data, combining solid foundations in physics with advanced programming skills, particularly in Python. I'm deeply fascinated by the intersection of artificial intelligence and biology, and I'm especially interested in how insights from one can inform the other. In addition to my focus on computer vision, I have a growing interest in Natural Language Processing (NLP), where I enjoy exploring how machines understand and generate human language. I thrive in interdisciplinary environments and am constantly seeking opportunities to expand my knowledge and skills. Whether it’s learning a new algorithm, exploring a novel application of AI in science, or working in collaborative research settings, I’m driven by curiosity and the desire to contribute to meaningful technological progress.
Areas of Expertise
Computer Vision
Develop image recognition, object detection, video analysis, and multimodal AI systems for real-world applications.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
