I am a dedicated professional with a strong foundation in mathematics and statistics, over a decade of experience in high-performance computing (HPC), and over three years in open-source software development, focusing on machine learning (ML) and statistical tools. My career includes roles such as senior research software engineer at Harvard T.H. Chan School of Public Health and the Edge Computing Lab at Harvard School of Engineering and Applied Sciences. I have experience in parallelization mechanisms, both shared and distributed memory systems, and have had the opportunity to collaborate with a diverse range of researchers. Currently, at Kempner Institute, I work on optimizing the deployment of advanced deep learning models, creating efficient data pipelines, and promoting reproducible research. Additionally, I am delving into the intricacies of large language model (LLM) algorithms to achieve under-the-hood computational optimization.