Krushna Shinde

Background

About Krushna Shinde

With a strong background in Mechanical Engineering, Mathematics, Algorithms, Numerical Methods, Programming, and Machine Learning, I currently find joy in working on the problems that lie at the intersection of Computational Mechanics and Deep Learning. Throughout my career, I have gained skills in various areas: 1. Technical Skills: Computational Mechanics: Finite Element Modeling, Uncertainty Modeling, Continuum Mechanics, Reduced-Order Modeling, Multiphysics Problems, Numerical Methods, Constitutive Laws, Composite Material Process Modeling. Advanced numerical and scientific techniques for solving mechanical problems. Machine Learning: Statistics, Probability, Surrogate Modeling, Optimization, Learning Algorithms, Graph Neural Networks, Physics-Based Neural Networks, Sequential Prediction. Programming Languages: Proficient in Python, MATLAB, and C++. Adaptability: I have shown flexibility in my career path, having worked as a Technical Sales Engineer at Schneider Electric right after graduation to a Ph.D. in Computational Mechanics has equipped me with research skills, making me adaptable to different roles and fields as required. Language Skills: English, Hindi, and Marathi, with beginner-level proficiency in French. Beyond my skills and extensive education, I am an honest and sincere teammate with a rational and calm attitude.