Abdul Noor
Deep Learning Compiler Engineer at NVIDIA
Urbana, Illinois, United States
Summary
👤
Senior🎓
Top SchoolAbdul Noor is a PhD candidate in Computer Science at UIUC with eight years of industry and research experience building compilers and deep learning runtimes for heterogeneous systems. Advised by Prof. Vikram Adve and active in the UIUC LLVM Research Group, he blends compiler construction, ML deployment, and systems research—work that earned back-to-back deep learning compiler internships at NVIDIA. His background spans practical program-debloating and LLVM tooling at SRI to teaching advanced programming and discrete math, giving him a rare mix of research depth and hands-on engineering pedagogy. Comfortable with linear algebra and probability (as his GitHub quip suggests), he focuses on making high-performance, correct compilation for both general-purpose code and machine learning workloads.
8 years of coding experience
Undergraduate, Computer Science, Undergraduate, Computer Science at Lahore University of Management SciencesPhD, Computer Science, PhD, Computer Science at University of Illinois Urbana-Champaign
Github Skills (66)
python10
deep-learning10
equivalent10
neural-network10
dsl10
tensorflow10
apl10
machine-learning10
rosette9
ml9
code-golf9
relational-algebra9
image-processing9
solver9
synthesis9
Programming languages (8)
Github contributions (5)
RafaeNoor/Do-My-Research
Jun 2020 - Jul 2020
Contributions:28 commits, 3 issues in 1 month
akothen/Hydride
May 2024 - Nov 2025
A retargetable and extensible synthesis-based compiler for modern hardware architectures
Contributions:60 pushes in 1 year 6 months
compilerhardwarecompiler-constructioncompilersprogram-synthesis
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