I developed CerviTrust, an AI-powered cervical cancer screening platform using deep learning for medical image analysis, explainable AI, and federated learning. The project won first place in the Health & Pharma sector at Automate or Die Hackathon 2026.
During my AI/Computer Vision internship at Sagemcom, I developed a Django dashboard for production data visualization and analysis. I also prepared computer vision datasets through image and video annotation using CVAT.
I built an AI Startup-Builder Assistant with CNNs, pre-trained YOLO models, LLM-based features, and explainable AI. My other projects include machine learning models and Power BI dashboards for food security, plus a freelance platform website developed with Django.
I'm studying AI Engineering at ESPRIT School of Engineering. My work and studies include machine learning, deep learning, computer vision, and web development.
