Rahul Sundar

Scientist II (AI ML) at Indian Institute of Technology, Madras

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 (39)

journal9
openfoam9
physics-informed-neural-networks9
open-access9
deep-reinforcement-learning8
smartsim8
academia7
machine-learning7
ode-solver7
matlab7
creative-commons7
pde-solver6
ai6
partial-differential-equations5
speech5

Programming languages (5)

C++JavaScriptJupyter NotebookMATLABPython

Github contributions (5)

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Contributions:159 commits, 59 pushes in 3 months
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
information-retrievalspeech
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