Summary
Rahul Sundar is an AI/ML scientist with 8 years of experience applying machine learning to multiphysics and climate problems, currently a Scientist II at Verisk and a research scholar at IIT Madras. He specializes in hybrid physics-ML workflows, reduced-order modeling, and GPU-accelerated CFD, having delivered ~O(100) speedups and automated end-to-end simulation pipelines that cut manual intervention and reruns. Rahul excels at standardizing research processes for novel problems—turning exploratory R&D into reproducible, production-ready tools across domains like climate science, renewable energy and EVs. He also manages an HPC cluster, mentors students, and builds low-data learning solutions, with practical experience deploying ML on edge devices such as NVIDIA Jetson. Colleagues note his pragmatic mantra—Identify, learn, build, test, improve, serve—which drives both technical rigor and team-driven impact.
8 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Madras
BITS Pilani, Birla Institute of Technology and Science
10+2, Science, 10+2, Science at Hyderabad Public School (Ramanthapur)
English, Tamil, Hindi, German, Telugu, Sanskrit