Summary
Rohin Arora is a research engineer with a decade of experience building and optimizing machine learning and computer vision systems for both cloud-scale clusters and edge devices. He has driven production and research work at Apple and Mistral AI after earlier industry impact at Arm, where his neural-network and automation efforts cut simulation time from months to hours and saved millions in compute. His research focuses on efficient training across heterogeneous clusters and model compression/pruning for deployment-constrained hardware, with complementary interests in AutoML/NAS, 3D vision, and unsupervised learning. Rohin’s background blends deep systems skills (CUDA, parallel computing) with practical ML engineering—he’s delivered multi‑x speedups and dramatic model-size reductions with minimal accuracy loss. He also has hands-on experience building research tooling and reproducible environments for academic labs, reflecting a persistent drive to make compute and experiments more efficient. Not obvious from titles: he pairs hardware-level understanding of low-power memory design with modern ML methods, enabling cross-domain optimizations from chip to model.
9 years of coding experience
8 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS Machine Learning Computer Vision and Algorithms, Master of Science - MS Machine Learning Computer Vision and Algorithms at Northeastern University
Delhi Public School,Dwarka