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I build methods for testing, validating, and improving trustworthy AI-enabled software systems. My research lies at the intersection of Software Engineering, AI Safety, and System Reliability, spanning LLM-driven testing, search-based software engineering for autonomous systems, and AIOps for distributed architectures. A central theme of my work is to make generative AI useful, interpretable, and dependable for solving complex validation problems in safety-critical and large-scale industrial systems.