Shantanu Shahane
Software Engineer at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolShantanu Shahane is a software engineer at Google Research with 11 years of experience building high-performance scientific computing systems that bridge CFD, machine learning, and urban mobility analysis. He develops TensorFlow/JAX-based CFD tooling optimized for GPUs and TPUs, coupling ML with numerical solvers to boost prediction accuracy and runtime efficiency, and has done low-level kernel benchmarking to accelerate finite-difference operations. His work also spans city-scale traffic simulation and congestion mitigation using Google Maps data, calibration with real-world datasets, and optimization techniques. A Ph.D. in Mechanical Engineering from UIUC and former postdoc at NCSA, he combines deep numerical methods expertise with practical parallel-programming skills and a decade of peer-reviewed publications. Notably, he applies ML not just as a modeler but as an instrument to redesign core simulation kernels for modern accelerators.
11 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology BombayUniversity of Illinois Urbana-Champaign
English, Hindi, Marathi
Stackoverflow
11reputation
2kreached
0answers
2questions
Github Skills (15)
python9
machine-learning9
deep-learning8
tensorflow8
neural-network7
data-science7
sparse-matrix6
eigen6
ml5
deep-neural-networks5
sparse2
matrix2
matrix-multiplication1
cpp1
blas1
Programming languages (2)
Github contributions (5)
shahaneshantanu/memphys
Jan 2021 - Jul 2021
Contributions:3 releases, 22 commits, 20 pushes in 5 months
shahaneshantanu/frost-thickness-neural-network
Mar 2020 - Dec 2020
Contributions:7 pushes, 1 branch in 9 months
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