Animesh Kumar
AI Research Engineer Scientist at Intel Labs
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolAnimesh Kumar is an AI research engineer specializing in GPU compiler technology with four years of experience building MLIR/LLVM-based tooling for high-performance and deep learning workloads. He has advanced deep learning compilation and kernel fusion for next-gen GPUs at Intel and implemented OpenMP GPU offloading and compiler optimizations for ROCm/AOMP at AMD, bridging research and production compiler stacks. Based in Bengaluru, he combines a dual B.Tech/M.Tech from IIITDM Kancheepuram with hands-on backend and systems work, giving him a practical perspective on end-to-end engineering. Notably, his trajectory shows a shift from platform backend engineering to cutting-edge compiler research, reflecting both systems-level fluency and a focus on accelerating agentic AI inference.
3 years of coding experience
2 years of employment as a software developer
B.tech + M.tech (Dual Degree), Computer Science and Engineering, B.tech + M.tech (Dual Degree), Computer Science and Engineering at Indian Institute of Information Technology Design & Manufacturing Kancheepuram
Github Skills (14)
compiler10
modular10
clang10
llvm10
toolchain10
openmp6
api6
llvm-clang6
cuda5
amd5
git-mirror5
packaging5
gpu4
subversion2
Programming languages (2)
Github contributions (5)
animeshk-amd/aomp
Jun 2022 - Mar 2024
AOMP is an open source Clang/LLVM based compiler with added support for the OpenMP® API on Radeon™ GPUs. Use this repository for releases, issues, documentation, packaging, and examples,.
Contributions:6 pushes, 2 branches in 1 year 8 months
cudaapiamdcompilersclang
animeshk-amd/llvm-project
Jan 2024 - Feb 2024
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Contributions:9 pushes, 3 branches in 1 month
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