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 (IR, MLIR), CMake, GCC,
Just.
- 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 focused on
correctness, security, and performance
optimization.
- System Design: Architected an Incremental
Analysis engine using SQLite for serialization, enabling result
reuse and drastically reducing re-analysis time for large
codebases.
- 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.
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