Utilized PyTorch for developing a predictive model for heat stream patterns in various ocean regions, aiming to assist in more accurate data collection for climate science.

Designed and programmed data-analyzing solutions using Pandas, PyTorch, and NumPy to process and interpret large-scale biomedical datasets from high-resolution genetic imaging.

Led the development of a multifunctional Data Management System using Java, Docker, and Kubernetes. The research focused on architectural patterns for managing vast laboratory data sets to improve research and operational efficiency.