Currently a graduate student at Rutgers University–New Brunswick, I'm on track to complete my Master of Science in Physics by October 2024, though I'm ready to start working immediately. A self-starter with a passion for coding since elementary school, I have developed strong computational skills over the years, particularly in C++, Python, and Julia. I have applied these skills to my research on Spin Density Waves in Weyl Semimetals.During my time as a research assistant at Rutgers University and as an intern at CfAR, Dublin City University, I not only researched the best ways to solve problems but also designed and implemented the code to solve them. Code performance and accuracy were critical. I created test cases and data sets for these projects to ensure their accuracy. At CfAR, it was crucial for me to quickly understand the existing code, HYDRA, and implement new features without affecting execution time or scalability. These experiences have given me a strong understanding of how to build effective, efficient, and dependable code.I was also responsible for data analysis and visualization in both roles. In physics, data analysis and visualization are arguably the most important parts. Showing your code's results and, more importantly, what they mean is crucial in communicating the physical significance of the data. For example, using Python, I classified quantum phase changes from raw data generated by my C++ code. At CfAR, I presented various metrics of calculating error as a function of grid size versus theoretical results to show how choosing the correct grid size could improve our results without major increases in computational time. These experiences have helped me grow into someone who can not only perform simple metrics on data but also understand data on a deeper level.As a Graduate Teaching Assistant, I have honed my communication abilities, consistently receiving excellent reviews for my teaching of STEM-major Physics courses. I pride myself on my ability to convey complex concepts in an accessible manner, drawing from diverse perspectives and blending theoretical insight with practical application.