About me

I am an AI Research Scientist specializing in Large Language Models (LLMs), Generative AI, and Natural Language Processing (NLP). Currently, I work at a stealth AI startup (Beta Testing, Pre-Launch), developing scalable, cutting-edge solutions that push the boundaries of language understanding and generation.

I hold a PhD in Artificial Intelligence and Machine Learning from the University of Texas at Arlington, where I conducted research under the supervision of Dr. Jeff Lei. My doctoral work focused on improving the reliability and interpretability of ML systems through Explainable AI (XAI), robustness testing, and automated model debugging, leading to practical frameworks for analyzing model failures, mitigating bias, and enhancing performance stability under real-world conditions.

My expertise spans deep learning, NLP, LLMs, and generative model architectures, with experience in transformer fine-tuning, pretrained model adaptation, and developing LLM-based frameworks. I specialize in building reliable and transparent AI systems—advancing interpretability, robustness analysis, and automated fault localization across complex ML pipelines.

I am passionate about advancing the trustworthiness and ethical deployment of AI technologies, bridging research innovation with practical engineering solutions that ensure AI systems are robust, fair, and interpretable.