I am a Ph.D. student at the University of Maryland, College Park, under the supervision of Dr. Mark Fuge. With a strong foundation in Engineering and a passion for Scientific Machine Learning (SciML), I focus on integrating AI/ML techniques with inverse design problems. My research spans developing machine learning models for optimization in cardiovascular systems, advanced material design, and applying uncertainty quantification to ensure robustness in engineering applications. My long-term goal is to bridge the gap between academia and industry by applying advanced machine learning models to solve complex engineering problems and design solutions that enhance reliability, efficiency, and scalability.