With over seven years of academic experience in seismology research, I specialize in both forward and inverse modeling, bridging the gap between theoretical concepts and practical applications. My expertise includes developing complex scientific software, such as a parallelized physics engine in Fortran leveraging High-Performance Computing, fluid diffusion modeling in C++, stress change analysis in MATLAB, and optimization algorithms in Python for signal peak detection. I've led numerous simulated fluid injection experiments to evaluate the earthquake risks associated with such activities, demonstrating a deep commitment to environmental safety. Proficient in a wide array of programming languages and tools including Python, MATLAB, Fortran, C++, C, SAC, ObsPy, QGIS, and GMT, I bring a versatile skill set to tackle diverse challenges in geosciences.