Robert García
Staff ML Compiler Engineer at AMD
Cologne, North Rhine-Westphalia, Germany
Summary
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Top SchoolRobert García is a Staff ML Compiler Engineer with eight years of software and research experience, currently driving compiler and ML infrastructure work at AMD in Cologne. He specializes in C++ product development and compiler technology—particularly LLVM, Clang and Flang—having implemented IR passes, instruction extensions, CFG reduction algorithms and even a small compiler and language (Quark) built with LLVM, Bison and Flex. Robert pairs production engineering practices (CMake, CI/CD, GTests, Docker) with performance analysis using perf, hypertune and Valgrind, and has a strong testing and code-review discipline. He has a Master’s in High Performance Computing and a history of moving from research and tooling at Appentra to senior roles focused on ML compiler stacks. Currently he’s building a new programming language and compiler to learn MLIR, reflecting a pragmatic curiosity that balances deep systems knowledge with hands-on learning. Colleagues know him for rigorous design validation and for turning compiler research ideas into production-ready code.
7 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer science, Bachelor's degree Computer science at Universitat d'AlacantMaster's degree High Performance Computing, Master's degree High Performance Computing at Universidade da Coruña
Spanish, Catalan, English
Stackoverflow
26reputation
8kreached
1answer
0questions
Github Skills (11)
modular10
toolchain10
clang9
llvm9
compiler8
http6
pytorch6
infrastructure6
deep-learning6
openssl6
onnx5
Programming languages (5)
Github contributions (5)
tmplang/tmplang
Jan 2023 - Apr 2023
Contributions:8 reviews, 33 PRs, 50 pushes in 3 months
roberteg16/Quark
Jul 2021 - Aug 2021
Contributions:31 commits, 37 pushes, 2 branches in 18 days
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