Andrea Michaelidou

Hi, I’m Andrea Michaelidou, a recent Electrical and Computer Engineering graduate with a solid foundation in computer networks, machine learning, and computer systems. I enjoy turning ideas into scalable AI-powered solutions and have hands-on experience with federated and privacy-preserving machine learning for cybersecurity, IoT, and edge computing. I’m passionate about applying AI/ML to real-world problems and am eager to keep learning and evolving in this field.

During my master’s studies, I designed and trained neural networks using TensorFlow and PyTorch, implemented privacy-preserving training with Flower, and evaluated models on the N-BaIoT dataset. I achieved strong performance (92.22% test accuracy and 0.92 F1-score) compared to centralized baselines and I’m motivated to continue delivering impactful AI solutions.