Aditya Agrawal is a Senior Software Engineer in San Jose with six years focused on deep learning performance, profiling, and computer architecture across industry leaders like Google and NVIDIA. He specializes in ML numerical and statistical analysis, model quantization, and lossless optimizations, and has driven TensorFlow graph pattern detection and profiling tools as well as CPU/GPU inference and training performance wins. At NVIDIA he helped secure MLPerf victories and created PyProf for PyTorch GPU analysis, showing a rare blend of research rigor (PhD-level ECE) and production-grade tooling. Comfortable across hardware-software boundaries, he has a background in DRAM research and PDK engineering that informs pragmatic performance trade-offs others might miss.
A GPU performance profiling tool for PyTorch models
Contributions:17 commits, 18 pushes, 5 branches in 7 days
gpuprofilingpytorch
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