Jorge Moya
Software Engineer at Freelance contractor
Valencia, Valencian Community, Spain
Summary
🤩
Rockstar🎓
Top SchoolJorge Moya is a versatile software engineer with 17 years of experience bridging research and production, currently at Google and working as a freelance contractor from Valencia, Spain. His background includes academic research in pattern recognition (speech and handwriting) and extensive game development experience, giving him a strong grasp of both algorithmic foundations and real-time systems. He focuses on low-level and tooling work—programming languages, code optimization, efficient algorithms, and constrained-resource environments—often tackling build systems and compiler toolchains. Jorge is an active open-source contributor to high-profile projects like LLVM and TensorFlow, where he has improved build robustness, dependency management, and debugger stability. Colleagues rely on him for pragmatic fixes that prevent subtle runtime errors (e.g., dangling pointers and subprocess error handling) and for keeping complex C++/Bazel/Bazel-like ecosystems compatible across LLVM versions. His blend of research rigor, game-engine pragmatism, and deep toolchain knowledge makes him particularly effective on projects that demand both performance and maintainability.
18 years of coding experience
19 years of employment as a software developer
Universitat Politècnica de València
English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (20)
dependency-management10
debugging10
c-language10
llvm10
build-system10
lldb10
tensorflow10
compiler-construction10
bazel10
system-integration10
error-handling10
cprogramming-language10
automation9
vscode9
automations9
Programming languages (8)
Github contributions (5)
llvm/llvm-project
Feb 2020 - May 2026
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:226 reviews, 109 PRs, 170 pushes in 6 years 3 months
Contributions summary:Jorge primarily contributed to the LLVM project by addressing missing dependencies and fixing issues related to the Bazel build system for various components like MLIR and libc. Their work involved modifying BUILD files to ensure proper linking and compilation, indicating a focus on build system maintenance and dependency management. The user also reverted and re-applied patches, demonstrating an understanding of code stability and potential performance impacts. Their contributions are focused on ensuring the correct building of the LLVM compiler infrastructure.
compilerllvmtoolchain
tensorflow/runtime
Apr 2022 - Aug 2022
A performant and modular runtime for TensorFlow
Role in this project:Back-end Developer
Back-end DeveloperContributions:17 commits in 4 months
Contributions summary:Jorge primarily focused on integrating and updating LLVM versions within the TensorFlow runtime project. Their commits involve modifying the `third_party/llvm/workspace.bzl` file to incorporate specific LLVM commit hashes and SHA256 checksums. This suggests a role in managing dependencies and ensuring the correct versions of LLVM, a critical component for performance optimization, are utilized in the runtime environment. The consistent pattern across multiple commits indicates a sustained effort in keeping the LLVM integration up-to-date.
tensorflow
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