I am currently a Postdoctoral Researcher at Trustworthy Human Language Technologies (TrustHLT), Ruhr University Bochum (RUB). My research primarily focuses on attacks against Large Language Models (LLMs), including prompt injection, membership inference, model inversion, gradient reconstruction, model extraction, backdoor attacks, and adversarial evaluation of AI systems.

Previously, I completed my Dr. rer. nat. at Software Innovation Campus Paderborn (SICP), Paderborn University, where my research focused on advanced machine learning methods for information leakage detection in cryptographic systems. During my doctoral studies, I developed machine learning and information-theoretic methods for side-channel analysis, automated attack generation using AutoML and Neural Architecture Search, and security evaluation of cryptographic implementations.

I received my Bachelor's degree in Computer Engineering from NSIT, Delhi University, now known as Netaji Subhas University of Technology (NSUT), securing admission through the highly competitive engineering entrance examination with an All India Rank (AIR) of 5383 and a Common Entrance Examination (CEE) Rank of 287.

Before pursuing my PhD, I worked as a Software Engineer at Samsung Research Institute-Noida (SRI-Noida), contributing to Android framework development and mobile software engineering. This industrial experience continues to influence my research by motivating practical, secure, and deployable AI systems.