Sravya Nimmagadda
Senior Deep Learning Scientist at NVIDIA
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSravya Nimmagadda is a Senior Deep Learning Scientist in Palo Alto with 10 years of experience applying ML and simulation expertise to robotics, autonomous vehicles, and GPU-accelerated systems. With a PhD and master's in Aeronautics and Astronautics from Stanford and a bachelor's from IIT Madras, she bridges rigorous aerospace foundations with cutting-edge AI research at NVIDIA, where she progressed from R&D engineer to senior scientist. Her work includes practical domain adaptation via GANs for Ford AV and contributions to the SU2 open-source CFD solver, demonstrating fluency in both deep learning and high-performance simulation code. Comfortable moving models from research to production, she also brings entrepreneurial insight from Stanford’s Ignite and Accel Innovation Scholar programs. Notably, she blends GPU-scale deep learning with classical computational physics—making her adept at solving perception and simulation gaps that impede real-world autonomy.
10 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology MadrasStanford Ignite Ceritifcation Program, Stanford Ignite Ceritifcation Program at Stanford University Graduate School of BusinessMaster’s Degree, Aeronautics and Astronautics, Master’s Degree, Aeronautics and Astronautics at Stanford University
Github Skills (13)
simulations10
simulation10
fluid-dynamics10
cfengine10
open-source10
c-language10
cpp10
cfc10
cprogramming-language10
cfml10
cplus10
hpc9
python5
Programming languages (2)
Github contributions (5)
su2code/SU2
Aug 2015 - May 2018
SU2: An Open-Source Suite for Multiphysics Simulation and Design
Role in this project:
Back-end Developer
Back-end DeveloperContributions:51 commits, 42 pushes, 1 branch in 2 years 9 months
Contributions summary:Sravya primarily contributed to the core computational fluid dynamics (CFD) solver within the SU2 framework. Their work involved modifications to existing solver implementations, including the Euler and Navier-Stokes solvers, and the addition of new functionality such as Time Spectral and Harmonic Balance methods. These changes included the creation of new files, and the modification of several existing source code files. The user also made adjustments to the configuration structures and iteration processes.
physicsmultiphysics-simulationpythoncfdsnl-applications
sravya91/SU2_HBDiscAdj
Aug 2016 - Aug 2016
Contributions:1 push, 1 branch in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.