As a computer scientist with a strong foundation in applied mathematics, I am dedicated to addressing significant real-world challenges. At Bosch, I channel my passion for AI and data analysis into meaningful research that directly impacts society.My current research interests focus on two critical areas of AI: security and explainability. I am working to enhance the security of AI systems, including those using Generative AI (Gen AI) and Large Language Models (LLMs), by detecting and preventing model extraction, evasion, and poisoning attacks. This work is essential for ensuring that AI systems are trustworthy and safe for widespread use. Additionally, I am exploring ways to increase the explainability of AI models, which is vital for ensuring that these systems are transparent and accountable.Beyond my work in AI security and explainability, I have extensive experience in analyzing diverse data types using cutting-edge machine learning algorithms. My background includes text-to-speech synthesis, speech and audio processing, bioacoustics, and healthcare applications. By leveraging my expertise in these areas, I provide valuable insights and solutions to complex problems.