Ashwin Nanjappa is a Senior Software Engineering Manager based in California with 15 years of experience focused on accelerating deep learning, machine learning and HPC on NVIDIA GPUs. He leads TensorRT performance optimizations and represents NVIDIA in the MLPerf Inference working group, shaping benchmarks and rules used industry-wide. A PhD-trained engineer with a strong C++, CUDA and Python background, he has hands-on history implementing new DL layers, performance bring-up for GPU architectures, and shipping inference pipelines at scale. His career spans academia and industry—from publishing realtime GPU vision research and building AR demos to deploying commercial multi-GPU training and inference systems for major e-commerce clients. Known for blending low-level performance engineering with benchmark-driven product strategy, he brings both deep technical craft and standards-level influence to production ML inference.
14 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Computer Science and Engineering, Bachelor of Engineering (B.Eng.) Computer Science and Engineering at RV College Of Engineering
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at National University of Singapore
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Ashwin Nanjappa - Senior Software Engineering Manager at MLCommons