Summary
Ashish Rai is an applied AI researcher and Member of Technical Staff with nine years of experience bridging generative modeling and interpretability research with production-grade distributed systems. Trained at NYU Courant and experienced across VMware and cloud-focused roles, he has deep expertise in performance characterization, profiling, and root-cause analysis for hyperconverged infrastructure while transitioning into generative AI work. He contributed to NYU Vital, a private cloud used for student VM assignments, and brings hands-on systems knowledge (Xen, QEMU, ESXi) to ML deployment challenges. Comfortable moving from micro-benchmarks to model architectures, he blends rigorous engineering discipline with curiosity about model behavior and explainability. Based in New York, he pairs academic research instincts with practical delivery at startups and enterprise teams.
9 years of coding experience