Summary
Mukunda Nath is a Sr. Scientist specializing in predictive engineering, FEA, and application development with 11 years of experience applying computational modeling to mobility, electrification, and consumer products. He has led simulation-driven design at SABIC, Samsung R&D, and General Motors, delivering validated methodologies for nonlinear/static and explicit dynamic analyses and automations that cut modeling time dramatically. His work spans material model development for polymers and metals, structural optimization, and integration of mixed reality and AI/ML into digitalization programs, and has resulted in multiple patents (one granted, three pending), journal and conference publications. Notably, he translated deep CAE expertise into product IP for foldable electronics and improved pedestrian protection and crashworthiness predictions to test-level accuracy. He combines academic rigor from IISc with hands-on automation (Bash/Tcl/JS/VBA) and a personal interest in the kinematic design of walking robots, reflecting a blend of curiosity-driven research and industry-scale delivery.
11 years of coding experience
5 years of employment as a software developer
MDes, Product Design and Engineering, 6.4 out of 8.0, MDes, Product Design and Engineering, 6.4 out of 8.0 at Indian Institute of Science (IISc)
High School, English, Assamese, Science, Mathematics, Social Studies and Advanced Mathematics, 86.5%, High School, English, Assamese, Science, Mathematics, Social Studies and Advanced Mathematics, 86.5% at Sipajhar H. S. & M. P. School
BTech, Mechanical Engineering, 8.29 Out of 10.00 (CGPA), BTech, Mechanical Engineering, 8.29 Out of 10.00 (CGPA) at National Institute of Technology Silchar
MDes, Product Design & Engineering, MDes, Product Design & Engineering at Centre for Product Design and Manufacturing, Indian Institute of Science
Senior Secondary School, Science, 80.8%, Senior Secondary School, Science, 80.8% at Cotton College
Hindi, Assamese, English