Suraj Bhardwaj

I am an AI Engineer working across computer vision, natural language processing, and multimodal AI. My expertise spans from developing label-free algorithms like the Clustered Feature Weighting (CFW) method—which addressed long-tailed data distributions and improved cross-modality adaptation in large driver distraction detection datasets-to building retrieval-augmented generation (RAG) systems and multi-agent chatbots. I hold an M.Sc. in Mechatronics with a specialization in Artificial Intelligence from Universität Siegen, where my thesis on self-supervised driver distraction detection was conducted in collaboration with Fraunhofer IOSB and Compuet Vision Group Uni-Siegen under the guidance of Prof. Michael Möller, Dr. Jovita Lukasik and M.Sc. David Lerch.

At Fraunhofer IOSB, I contributed to Human–AI Interaction projects including KARLI and SALSA, working with Dr.-Ing. Michael Voit, Dr.-Ing. Frederik Diederichs, and M.Sc. David Lerch. There, I integrated vision–language models and multimodal pipelines for driver attention analysis and sleep stage recognition. Earlier, in the Visual Computing Group led by Prof. Margret Keuper, I worked on Out-Of-Distribution Robustness, GANs, Latent Diffusion Models, and Neural Radiance Fields (NeRFs), building strong foundations in computer vision and generative artificial intelligence.