Ege Demir

Ege Demir is a Machine Learning Engineer at Themis AI since September 2022, with prior experience as a Research Assistant at Iowa State University where a novel adversarial deep learning method was developed to enhance CNN-based website fingerprinting attacks and achieve ~90% accuracy in website classification. Ege also worked as a Software Engineer at Ouva, focusing on the training and evaluation of speech-to-text models and integrating Google Cloud’s asynchronous speech-to-text APIs for a healthcare voice assistant product. Ege holds a Bachelor of Engineering in Computer Engineering from Iowa State University.