Curriculum Vitae

Rui Marques

Senior C++ Compiler Engineer

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[email protected] · LinkedIn · GitHub · Lisbon, Portugal

Professional Summary

Senior C++ Compiler Engineer with 8 years of experience, specializing in Compiler Technology, Static Analysis, and Deep Learning. Proven track record of optimizing performance by up to 100x and developing tooling used by major industry players (Microsoft, Intel, NERSC). Strong background in Engineering Physics with expertise in modern C++, LLVM, and high-performance computing.

Technical Skills

  • Languages: C++ (Expert), C, Fortran, Python, Bash, SQL, Rust, Groovy, TypeScript.
  • Compiler & Build: LLVM (Clang, Flang, IR, MLIR), GCC, CMake, Ninja.
  • HPC & Parallelism: OpenMP, OpenACC, SIMD, x86_64, ARM64, WebAssembly.
  • Frameworks & Libraries: TensorFlow, OpenCV, FFmpeg, Boost.
  • Tools & Environment: Git, Docker, CI/CD (Jenkins, GitHub Actions), Linux (Arch), Neovim, Tmux.
  • Methodologies: Agile, TDD, Clean Code, Git-Flow.

Work Experience

Senior C++ Compiler Engineer | Codee

Remote / A Coruña, Spain (2020 – Present)

  • Core developer of a static code analysis tool (~200k LOC) focused on correctness, security, and performance optimization for HPC workloads.
  • MLIR & Flang: Leveraged MLIR within the Flang frontend to optimize and transform Fortran Intermediate Representation (FIR), implementing custom lowering passes to LLVM-IR.
  • System Design: Architected an Incremental Analysis engine and a Build Dependency Reverse Engineer designed from first principles, drastically reducing re-analysis time.
  • Impact: Designed and implemented key diagnostics and auto-remediation features that directly drove revenue growth and adoption by high-profile clients including Oak Ridge National Laboratory, NERSC, Microsoft, Intel, and Fujitsu.
  • Open Source: Upstreamed contributions to LLVM (Clang, Flang), Bear, and tree-sitter-fortran.
  • Engineering Practices: Promoted modern C++ standards and best practices (TDD, Code Reviews) within a high-performance Agile team.

C++ Deep Learning Software Engineer | Cinfo

A Coruña, Spain (2019 – 2020)

  • Built an AI-driven autonomous broadcasting system for sports events, utilizing Computer Vision to automate camera control.
  • Optimization: Enhanced system reliability by implementing an advanced Kalman Filter for robust object tracking.
  • Managed end-to-end ML pipelines: dataset curation, training, and fine-tuning of CNNs on GPU clusters.

C++ Deep Learning Software Engineer | Xesol Innovation

Vigo, Spain (2018 – 2019)

  • Developed real-time Advanced Driver-Assistance Systems (ADAS), including traffic sign recognition, collision detection, and lane keeping.
  • Performance: Achieved a 100x performance boost (3 to 300 FPS) on embedded hardware through algorithmic optimization.
  • Implemented and deployed deep learning models (CNNs) for object detection in resource-constrained environments.

Junior C++ Software Engineer | CTAG - Automotive Technology Centre of Galicia

Porriño, Spain (Jan 2018 – Apr 2018)

  • Developed embedded drivers for LiDAR and ultrasound sensors adhering to strict automotive safety standards (MISRA-C).

Education

Languages

  • English: Proficient
  • Spanish: Proficient
  • Portuguese: Native