I am an AI Scientist specializing in building trustworthy AI systems. My work focuses on improving the security, reliability, and interpretability of large language models and agentic AI systems as they become increasingly integrated into real-world software development and broader organizational workflows.

At Ericsson's Global AI Accelerator, I built end-to-end AI training pipelines and delivered NLP solutions that outperformed baselines. My research has been funded by the NSF and the U.S. Department of Education, and published at venues including AIware, MSR, ASPLOS, USENIX Security, and SeT LLM at ICLR.

I currently work at the Productivity and Security in Software Systems Lab at the University of Houston. Previously, I completed a postdoctoral appointment at Texas A&M University's SPIES Lab and earned my PhD in Computer Science from the University of Houston.

Visit my projects and publications. Click on the menu button on the top-left to learn more about my experiences.