Anitha Raj is a tech lead specializing in software optimizations for CPU and GPU compute, currently driving low-level performance work at Arm in Cambridge. She brings deep expertise in OpenCL, Neon, and driver/kernel-level tuning to accelerate ML and GenAI workloads on mobile devices, with hands-on experience in GEMM/SpMM kernels and graphics compute drivers. Her background includes pre- and post-silicon bottleneck analysis, bespoke simulator-driven 3D pipeline studies for power-constrained devices, and building high-level tooling for architecture exploration and DirectX workload characterization. A double gold-medalist in computer science (NIT Calicut and MDU Rohtak), she pairs rigorous academic foundations with practical silicon-era debugging and optimization skills rarely found after only a few years in industry.
2 years of coding experience
10 years of employment as a software developer
Bachelor of Technology (BTech) Computer Science, Bachelor of Technology (BTech) Computer Science at Maharshi Dayanand University
Master of Technology (M.Tech.) Computer Science, Master of Technology (M.Tech.) Computer Science at National Institute of Technology Calicut
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
Contributions:2 releases, 3 pushes, 1 tag in 2 months
simdneonopenclnvidiaarmv8
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