Summary
Bhavesh Shrimali is a Senior Engineer specializing in advanced modeling and AI solutions, with nine years of experience blending mathematics, computer science, and solid mechanics to accelerate scientific simulations. He holds a PhD in Mechanics and an MS in Scientific Machine Learning from UIUC, where his research focused on fracture modeling in viscoelastic solids and optimization properties of neural operators. At Micron he develops hybrid physics-ML workflows—combining finite element methods with neural models—to improve wafer bonding for next-generation memory nodes. His background spans academic research, teaching numerical methods, and industry roles translating finite-element expertise into production-ready ML-enhanced simulators. Comfortable bridging theory and engineering, he often leverages deep numerical insight to make ML models physically consistent, a skill rooted in hands-on FE implementations and experimental validation from earlier structural mechanics work. Based in Boise, he brings a rare combination of rigorous computational mechanics pedigree and practical ML deployment experience in semiconductor and consumer product settings.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (BTech) Civil Engineering, Bachelor of Technology (BTech) Civil Engineering at Indian Institute of Technology, Guwahati
Doctor of Philosophy - PhD Civil Engineering, Doctor of Philosophy - PhD Civil Engineering at University of Illinois Urbana-Champaign
Intermediate +2 Science Mathematics, Intermediate +2 Science Mathematics at Saint Xavier's Senior Secondary School Jaipur
English, Hindi, Sanskrit, German, Gujarati, Spanish