I am a 2024 graduate with a Master of Engineering in Mechanical Engineering from UC Berkeley, specializing in mechanical design and product development. Throughout my academic journey, I have developed a strong foundation in design principles, team management, and data analysis.At UC Berkeley, I led a 3D motion capture project focused on calculating stress and strain on ACLs, utilizing advanced data analysis techniques to achieve precise skeletal tracking. In a Human Centered Design course, I developed a prototype for AR-assisted cooking from scratch, involving idea development, market research, customer analysis, and stakeholder analysis.I also undertook a Modeling and Simulation course, where I worked on developing digital twins and modeled various advanced manufacturing processes using Python and MATLAB. I completed projects on deformation, thermomechanics, and laser processing of materials using the Finite Difference Time Domain (FDTD) method. Additionally, I applied machine learning algorithms and optimization techniques to enhance manufacturing process efficiency.In a Project Management course, I developed project scopes, work breakdown structures, risk assessments, and stakeholder analyses for various projects.Previously, as a CAE Engineer at Applus+ IDIADA, I focused on enhancing passive safety projects through crash analysis and NVH optimization, utilizing cutting-edge CAE tools for impactful pre and post-processing of crash tests.I am passionate about mechanical design and eager to contribute to innovative product development teams. I am looking for opportunities where I can leverage my skills in mechanical design, team management, and data analysis to drive engineering excellence and create impactful solutions.