About

I am a Ph.D. student in Mechanical Engineering at Michigan State University. I specialize in solving real-world engineering challenges through advanced optimization techniques. My research focuses on surrogate-assisted optimization, evolutionary computation, and machine learning to address multi-objective optimization and engineering design challenges. With over three years of professional experience at Eaton Corporation in the Centre for Digital Prototypes and Twins, I have developed and deployed systems modeling, simulation, and product design strategies that drive results. At Eaton, I contributed to projects ranging from designing complex variable valve actuation mechanisms, transmission sump temperature analysis, circuit breaker mechanics, and vehicle models to resolving transmission issues. Additionally, I developed mechanical designs and material formulations for the Power systems team while implementing Design for Six Sigma (DFSS) principles. Key Areas of Expertise: Multi-Objective Surrogate-Assisted Optimization Optimization Algorithms & Machine Learning Modeling and Simulation New Product /New Technologies Introduction (NPI, NTI) Vibrations, Applied Mathematics, Finite Element Analysis, Dynamics and Controls, Vehicle Technologies Engineering Design, Numerical Simulations, & DFSS My experience spans academia and industry. I combine an M.S. in Mechanical Engineering from IIT Kanpur with practical expertise in simulation tools like MATLAB, Simulink, GT-Suite, Altair-Flux, Altair OptiStruct, and Seimens-AMESim. I am passionate about applying my skills to tackle multidisciplinary challenges and deliver impactful engineering solutions.