Summary
Aditya Kashi is a computer scientist specializing in scalable numerical methods and high-performance computing, with 11 years of experience applying HPC to engineering simulation and computational fluid dynamics. He designs algorithms and software to run scientific codes at extreme resolution, currently advancing exascale-capable numerical methods at Oak Ridge National Laboratory. His background spans GPU-accelerated sparse linear algebra, batched sparse solvers, and fine-grain parallel preconditioning—work that bridges research prototypes and production-grade simulation stacks. Aditya combines deep C++ development experience in finite element and CFD codes with practical insights from industry internships in aerospace and electromagnetics. He also explores AI and analytics at scale to accelerate scientific discovery, reflecting a rare blend of applied math, software engineering, and domain-driven simulation expertise. Based in Knoxville, TN, he brings both academic rigor (PhD, McGill) and hands-on solver implementation to large-scale computational challenges.
10 years of coding experience
4 years of employment as a software developer
Master’s Degree, Mechanical Engineering, 3.875 / 4, Master’s Degree, Mechanical Engineering, 3.875 / 4 at North Carolina State University
Bachelor of Engineering (BEng), Mechanical Engineering, 8.37/10, Bachelor of Engineering (BEng), Mechanical Engineering, 8.37/10 at Birla Institute of Technology and Science
Class 12, Science, Class 12, Science at Somerville School, Vasundhara Enclave, Delhi
Doctor of Philosophy (Ph.D.), Mechanical engineering, 4.0, Doctor of Philosophy (Ph.D.), Mechanical engineering, 4.0 at McGill University
English, Hindi, Kannada, French