My passion for developing high-impact solutions to complex challenges drives my deep interest in AI research. As an M.Sc. Computer Science candidate specializing in Data Science and AI at San Francisco State University, I’m committed to leveraging AI as a tool for meaningful innovation. My foundation in Computer Science from WGU has been enriched through hands-on research at SFSU, participation in NSF's I-Corps Program (hosted by Princeton), and the DOE's Omni/ORISE Program (hosted by ORNL). I’m also dedicated to sharing knowledge as a TA and pushing the boundaries of Large Language Models and Multimodal Learning as a GRA.My research and professional experience encompass data engineering, ML model development with TensorFlow and PyTorch, cloud databases, high-performance computing, and cloud deployment. I have strong skills in data preprocessing, feature engineering, model evaluation, optimization, and algorithm implementation. I am proficient in Python, Java, R and SQL and experienced with version control systems like Git. I am also well-versed in collaborative tools like Jupyter Notebooks and GitHub, and have a solid understanding of agile methodologies. My expertise includes large language models, generative AI (diffusion architecture), computer vision, multimodal data, and large-scale datasets.