Abdullah Bari
Deep Learning Compiler Engineer at Intel Corporation
Denton, Texas, United States
Summary
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Rockstar🎓
Top SchoolAbdullah Bari is a Deep Learning Compiler Engineer at Intel with four years of experience bridging compiler research and high-performance computing for CPUs and GPUs. He holds a Ph.D. in Computer Science and has a strong LLVM pedigree from research on OpenMP/OpenSHMEM tooling, static analysis, and compiler-assisted resilience developed at Stony Brook. His work spans MLIR-based compiler technologies for deep learning, performance analysis on Arm A64FX, and practical GPU data-placement optimization that led to peer-reviewed publication. Abdullah’s internships at LLNL, AMD (resulting in a patent), and Schlumberger underscore a track record of turning research into production-relevant tools. Based in Denton, Texas, he combines low-level systems expertise with applied ML compiler design, often focusing on runtime parameter selection and vectorization bottlenecks that are easy to overlook.
4 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), High performance Computing, 3.953, Doctor of Philosophy (PhD), High performance Computing, 3.953 at University of HoustonBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Bangladesh University of Engineering and TechnologyDoctor of Philosophy (PhD), Computer Science, 3.83, Doctor of Philosophy (PhD), Computer Science, 3.83 at Stony Brook University
English, Bengali
Github Skills (8)
compiler10
modular10
clang10
toolchain10
llvm10
intel9
staging8
program-analysis5
Programming languages (2)
Github contributions (5)
mshahneo/llvm-project
Mar 2022 - Apr 2025
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.
Contributions:3 reviews, 2 PRs, 89 pushes in 3 years 1 month
compilerstechnologiesclangsubmittoolchain
mshahneo/mlir-extensions
Mar 2022 - Feb 2025
A staging ground for MLIR dialects and tools.
Contributions:56 pushes, 30 branches in 2 years 11 months
mlirdialectsstagingground
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