Rahul Sundar

Scientist II (AI ML) at Verisk Catastrophe and Risk Solutions

Hyderabad, Telangana, India
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Summary

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Senior
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Top School
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.
code8 years of coding experience
job1 year of employment as a software developer
bookIndian Institute of Technology Madras
bookBITS Pilani, Birla Institute of Technology and Science
book10+2, Science, 10+2, Science at Hyderabad Public School (Ramanthapur)
languagesEnglish, Tamil, Hindi, German, Telugu, Sanskrit
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Github Skills (42)

openfoam9
smartsim9
physics-informed-neural-networks9
deep-reinforcement-learning8
open-access8
journal8
academia7
pde-solver7
partial6
creative-commons6
ode-solver6
machine-learning6
python6
matlab6
numerical-methods5

Programming languages (4)

C++Jupyter NotebookMATLABPython

Github contributions (5)

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amaze18/speeKAR

Sep 2023 - Mar 2024

Keyword Augmented Retrieval: Novel framework for Information Retrieval integrated with speech interface
Contributions:222 pushes, 1 branch in 5 months
Contributions:159 commits, 59 pushes in 3 months
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