Ganesh Ajjanagadde
Applied Deep Learning Research Scientist at NVIDIA
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolGanesh Ajjanagadde is an applied deep learning research scientist with 11 years of experience blending advanced numerical algorithms, hardware-aware co-design, and production ML systems. He has driven high-impact work at NVIDIA, Meta, and Apple—creating industry-adopted numerical recipes (e.g., cascading GEMM for efficient low‑precision matmuls), leading math library co-design with hardware IP, and cutting Siri latency and power across Vision Pro, Watch, and HomePod. A PhD from MIT, his research spans coding/packing theory and computational imaging, and he combines that theoretical depth with hands-on engineering to solve problems few engineers can. Known as a strong mentor and cross-functional leader, he elevates teams through technical direction and practical contributions while staying active on hard research questions at the intersection of numerics, algorithms, and systems.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Electrical Engineering and Computer Science, Doctor of Philosophy - PhD Electrical Engineering and Computer Science at Massachusetts Institute of Technology
English, Hindi, Kannada
Github Skills (72)
python10
deep-learning10
gpu10
science10
julia10
machine-learning10
titlebar9
numpy9
matroska9
acceleration9
neural-network9
integer9
tensor9
audio9
programming-language9
Programming languages (6)
Github contributions (5)
gajjanag/FFmpeg
Jun 2015 - Apr 2016
Contributions:39 pushes, 5 branches in 10 months
ffmpegvideosource-git
gajjanag/gajjanag.github.io
May 2020 - Mar 2025
Contributions:14 pushes, 1 branch in 4 years 11 months
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