Summary
Ahmed Tawfik is a Computer Vision researcher and PhD candidate at RPTU Kaiserslautern with nine years of experience applying deep learning to 3D perception problems such as hand-object pose estimation and shape reconstruction. At DFKI he combines RCNNs, Graph Convolutional Networks and Transformers to push state-of-the-art approaches, building on prior work in OCR, ML privacy attacks, and practical ML systems from internships and theses. He has improved real-world pipelines—e.g., boosting HackerOne’s duplicate-detection with document embeddings—and brings both academic rigor and production-minded experimentation. Fluent in building convolutional architectures and embedding-based solutions, he also has teaching and coaching experience that sharpens his communication of complex ideas. Based in Kaiserslautern, he bridges applied research and engineering, often choosing challenging interdisciplinary problems that sit at the intersection of vision, security, and language.
9 years of coding experience
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Maastricht University
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at The German University in Cairo
Doctor of Philosophy - PhD, Informatik, Doctor of Philosophy - PhD, Informatik at RPTU Kaiserslautern-Landau