Machine Learning Engineer at DFKI and Ph.D. Candidate at RPTU

Email  /  CV  /  Google Scholar  /  Twitter  /  GitHub  /  LinkedIn

I am a Machine Learning Engineer at the German Research Center for Artificial Intelligence (DFKI) and a PhD Candidate in Computer Science at RPTU Kaiserslautern–Landau, supervised by Prof. Dr. Didier Stricker. My doctoral research is funded by the the German Academic Exchange Service (DAAD). My research advances robust and efficient visual perception, with a focus on semi-supervised learning, document intelligence, and object detection in challenging and low-annotation environments. My work has resulted in first-author publications at premier venues including CVPR, ICCV and ICDAR.

At DFKI, I lead research across multiple large-scale applied AI projects including semi-supervised object detection for complex 2D environments, a high-precision multimodal system for document layout analysis under the LUMINOUS project, and medical anomaly detection pipelines for the AIRISE initiative. I also completed an Applied AI Scientist internship at Tensorlake, San Francisco, where I worked on document intelligence systems, led VLM integration for document analysis, and developed data generation and post-processing pipelines for improving document layout, OCR accuracy, and strikethrough detection. My research focuses on multimodal perception, data-efficient learning, and transformer architectures, with a long-term goal of enabling agentic AI systems that can autonomously understand, reason, and act based on visual information.