Dheevatsa Mudigere
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDheevatsa Mudigere is an AI systems engineer with nine years of experience focused on HW/SW co-design, large-scale AI systems, deep learning, and high-performance numerical computing. Trained in mechanical engineering (BE) and computational science (MSc Hons from TU München), he blends rigorous scientific computing foundations with practical parallel and distributed engineering. Based in San Francisco, he specializes in optimizing AI workloads across hardware and software stacks to drive scalable performance. His background implies a rare fluency in both low-level performance tuning and algorithmic model concerns, enabling end-to-end improvements from kernel to cluster.
9 years of coding experience
BE, Mechanical Engineering, BE, Mechanical Engineering at Visvesvaraya Technological UniversityMSc (Hons), Computational Science & Engineering, MSc (Hons), Computational Science & Engineering at Technische Universität München
Github Skills (48)
simulation10
sparse10
fluid10
matrix10
intel10
python10
avx10
matrix-multiplication10
sparse-matrix10
acceleration10
machine-learning10
numpy10
vector10
deep-learning10
tensorflow10
Programming languages (3)
Github contributions (5)
dmudiger/libxsmm
May 2017 - Feb 2018
Contributions:25 pushes, 1 branch in 9 months
cudaconvolutionssparse-matrixgpumatrix-multiplications
dmudiger/DeepBench
Oct 2016 - May 2018
Contributions:1 PR, 11 pushes in 1 year 7 months
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