Suraj Bhardwaj

I design and develop machine learning models and applications that empower people to understand the real-world impact of AI and data-driven systems. Alongside building intelligent web tools and applications, I also craft insightful data visualizations and write interactive, engaging articles to make complex ideas more accessible and understandable.

I received my M.Sc. in Mechatronics from Universität Siegen, where I completed my master’s thesis under the guidance of Prof. Michael Möller and Dr. Jovita Lukasik. My dissertation, titled Improved Driver Distraction Detection Using Self-Supervised Learning, was supported by the research institute Fraunhofer IOSB, where I worked part-time as a Research Assistant. In this role, I contributed to the Human-AI Interaction department under the supervision of Dr.-Ing. Michael Voit, Dr.-Ing. Frederik Diederichs, and M.Sc. David Lerch.

During my time at Fraunhofer IOSB, I collaborated closely with developers and researchers on cutting-edge AI initiatives under the KARLI and SALSA projects. I have worked on developing intelligent AI systems that combine large language models with retrieval-based architectures to enable scalable, context-aware information access. My experience also includes leading high-impact technical demonstrations, where I translated complex machine learning solutions into real-world applications for diverse stakeholders including researchers, industry leaders, and public sector officials.