Raul Torres
Senior AI Software Engineer at Huawei Technologies Research & Development (UK) Ltd
Cambridge, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolRaul Torres is a Senior AI Software Engineer and compiler specialist with a PhD in Computer Science, based in Cambridge, UK. He has built and led compiler and runtime teams across quantum, HPC and cloud-focused companies—most recently guiding the Catalyst quantum compiler stack at Xanadu and now at Huawei R&D. His work spans LLVM/MLIR, Clang tooling, and C++ runtime development for heterogeneous and Arm-based architectures, with a track record of shipping JIT/AOT compiler components and static analysis tools. Raul combines deep research experience from top supercomputing centers with hands-on product delivery, mentoring engineers to bridge academic rigor and production constraints. An enthusiast of compilers, AI and game design, he brings an unusual blend of low-level systems expertise and applied AI ambitions to accelerate high-performance and quantum computing toolchains.
3 years of coding experience
15 years of employment as a software developer
Master of Science - MS Computer Science and Systems Engineering, Master of Science - MS Computer Science and Systems Engineering at Universidad Nacional de ColombiaDr. rer. nat. (PhD) Informatik (Computer Science), Dr. rer. nat. (PhD) Informatik (Computer Science) at University of HamburgBachelor's degree Systems Engineering, Bachelor's degree Systems Engineering at Universidad de Nariño
Spanish, English, German, Portuguese, Catalan
Github Skills (48)
autodiff10
pytorch10
quantum-chemistry10
python10
llvm10
llama10
machine-learning10
inference10
multimodal10
large-language-models10
reinforcement-learning10
distributed-computing10
llm10
automatic-differentiation10
deep-learning10
Programming languages (4)
Github contributions (5)
rauletorresc/llama.cpp
Oct 2025 - Jul 2026
LLM inference in C/C++
Contributions:16 pushes, 3 branches in 8 months
rauletorresc/xllm
Jan 2026 - Jun 2026
Contributions:8 pushes, 2 branches in 5 months
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