Fabian Mora

Senior Member Of Technical Staff at AMD

New York, New York, United States
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Summary

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Fabian Mora is a Senior Member of Technical Staff with a decade of experience specializing in compiler infrastructure and MLIR development, currently based in New York and working at AMD. He holds a PhD in Computer Science from the University of Delaware and a strong applied mathematics background, blending deep theory with production-grade systems. Fabian has contributed to the high-profile LLVM project—implementing interfaces and conversion patterns for MLIR, OpenMP, and ROCDL—bringing real-world GPU and compiler expertise. His career spans research, industry internships, and applied roles (including Brookhaven and NVIDIA), reflecting an ability to move advances from academic prototypes into vendor toolchains. Colleagues know him for bridging rigorous academic thinking with pragmatic engineering to optimize compiler dialects and backend imports.
code10 years of coding experience
job6 years of employment as a software developer
bookMaster's degree, Applied Mathematics, Master's degree, Applied Mathematics at Universidad de Costa Rica
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Delaware
languagesSpanish, English
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Github Skills (7)

compiler-design10
c-language10
cprogramming-language10
mlr10
llvm10
gpu9
openmp8

Programming languages (8)

C++ShellCLLVMSCSSMLIRMarkdownPython

Github contributions (5)

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llvm/llvm-project

May 2023 - May 2026

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Role in this project:
userBack-end Developer
Contributions:282 reviews, 132 PRs, 105 pushes in 3 years
Contributions summary:Fabian contributed to the LLVM compiler infrastructure, specifically focusing on the MLIR (Multi-Level Intermediate Representation) subproject. Their work involved adding and modifying interfaces for the `PromotableOpInterface` and `LLVMImportInterface`. They also modified the GPU dialect and added/modified various other files. This involved implementing and modifying conversion patterns for OpenMP and the ROCDL target.
compilerllvmtoolchain
fabianmcg/iree

Jun 2024 - Oct 2025

A retargetable MLIR-based machine learning compiler and runtime toolkit.
Contributions:1 PR, 53 pushes, 12 branches in 1 year 4 months
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