With over 8 years of experience in data science, computational geophysics, and machine learning, I am passionate about applying cutting-edge artificial intelligence techniques to solve challenging scientific problems. I am currently a Senior Data Scientist at SparkCognition, a leading AI company that provides solutions for various industries, such as energy, aerospace, defense, and finance.At SparkCognition, I use generative AI to tackle complex physics-based problems. I leverage my skills in programming, C, Python, Fortran, MATLAB, and deep learning to develop and implement innovative algorithms and models that can generate realistic and accurate simulations and predictions. I also collaborate with a diverse and talented team of researchers, engineers, and domain experts to deliver high-quality and impactful results. Previously, I was a Graduate Research Assistant at The University of Texas at Austin, where I worked on probabilistic optimization methods for large-scale seismic inverse problems and deep learning for full waveform inversion and carbon sequestration. I also gained valuable industry experience as an Intern at Chevron, where I applied quantitative interpretation and data science techniques to seismic data analysis