Skills
Abaqus, ANSYS, OptiStruct, Hypermesh, FEMFAT, AVL Excite, MSC Adams, FEA Modeling, Abaqus Python Scripting, Siemens LMS, CATIA V5, SolidWorks, Python, MATLAB, LabVIEW, TensorFlow, Keras, Pytorch, OpenCV, Experimental Modal Analysis, Laser Vibrometer, Signal Processing, Transfer Function Modeling, Nonlinear Vibrations, Micro Arc Oxidation, Wear Testing, Corrosion Testing, Technical Documentation, Scientific Writing.
About
I am a Ph.D. candidate in Mechanical Engineering at Rice University and expect to graduate within the next two months. I am actively seeking full-time opportunities where I can apply my combined academic and industry expertise in structural dynamics, simulation, and deep learning. With over seven years of professional experience as a CAE engineer, I have led simulation-driven design and analysis projects in the energy and automotive sectors, including Cranktrain and Turbomachinery systems. I am proficient in advanced engineering tools such as Abaqus, ANSYS, MATLAB, Python, AVL Excite, MSC Adams, OptiStruct, and Hypermesh, and have developed custom automation tools to streamline simulation workflows. My academic research focuses on applying phase-based motion magnification and neural networks for structural health monitoring, supported by multiple publications and conference presentations. I bring a strong interdisciplinary skill set and am eager to contribute to innovative engineering teams tackling complex dynamic systems.
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