I’m a Software Engineering student at INSAT specializing in Artificial Intelligence and Embedded Systems, with hands-on experience in NLP, computer vision, and full-stack AI development. My recent internships at Abshore and VirtualDev allowed me to build intelligent systems — from an NLP model that classifies and corrects CVs to a chatbot for ERP systems combining local LLMs and Google Gemini APIs.
I enjoy bridging AI with real-world applications: optimizing neural networks for beamforming, designing CNNs for plant disease detection, and deploying interactive web solutions with FastAPI, ASP.NET, and Docker. My technical stack includes Python, TensorFlow, MATLAB, and SQL, complemented by solid knowledge in data processing, embedded systems, and cloud (AWS).
Beyond academics, I’m an active member of the IEEE RAS Chapter and Aerobotix INSAT, and a national tennis coach, experiences that have shaped my leadership, teamwork, and discipline. I’m motivated by solving impactful problems through AI and always seeking environments where I can innovate, learn fast, and contribute to intelligent automation.
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