I am a Data Analyst Engineer and AI researcher with strong experience in machine learning, large-scale data engineering, and intelligent systems. At Elevance Health, I design Spark-based ETL pipelines, develop predictive data models, and build analytics solutions using Python, SQL, Kafka, and Hive. My research spans reinforcement learning, robotic manipulation, evolutionary AI, diffusion-based generative modeling, surrogate modeling for solid mechanics, satellite imaging, and natural-language understanding. I also have academic experience developing deep learning and graph neural network models for medical imaging during my graduate research at the University of South Dakota. I actively contribute to peer review communities and global research platforms.