Simone Perfetto

I am a Mechatronics and Physics postgraduate engineer with 4+ years of hands-on academic and self-directed experience in machine learning, control systems, and embedded AI. I have built applied AI systems in Python and C across computer vision, natural language processing, and neural network-based modelling, alongside control system design using MATLAB/Simulink and embedded development using microcontrollers.

My interests lie in developing end-to-end intelligent systems that combine software, data, and hardware—particularly in applied machine learning, automation, and real-world AI deployment. I enjoy working on problems that involve turning data into actionable systems, whether through predictive models, vision systems, or automation pipelines.

I also have experience in structured, data-driven trading under prop-firm environments, where I applied rule-based execution, risk management, and analytical decision-making under strict constraints.

I am especially interested in roles where I can build and deploy production-ready AI systems, work with modern ML stacks (Python, PyTorch, TensorFlow), and contribute to fast-moving engineering teams focused on real-world impact.