Seasoned Software Engineer and Data Scientist with over 15 years of experience. Seamlessly integrates business and science expertise with cutting-edge software development. Proven ability to quickly comprehend and apply new technologies to meet business needs. Track record of creating and extending machine learning models, minimizing memory usage, and reducing training time. Skilled at optimizing high-performance computing systems, including managing 8-petabyte storage systems and enhancing GPU utilization for atmospheric modeling at NOAA. Success in developing robust Python applications and data pipelines for real-time industrial data processing, resulting in a system efficiency improvement of up to 30% and generating annual cost savings of $200,000 through strategic data management. Deep expertise in machine learning, HPC environments, cloud technologies (AWS, Azure), and geophysical modeling. Bachelor's degree in Computer Science and advanced Geophysics degree from leading institutions.