About Me – Raúl Aguilar Arroyo

Raúl Aguilar Arroyo

📍 Madrid, Spain
📧 raulagarr@gmail.com
🔗 LinkedIn
💻 GitHub
🌍 Personal Website

🎯 Professional Profile

I am a Computer Engineer with experience in embedded systems, high-performance computing (HPC), and data analysis. Currently, I work as an Embedded Software Developer at Geotab, developing low-level firmware for advanced telematics devices, real-time operating systems (RTOS), and test platforms (black-box and HIL).

In parallel, I have carried out research in applied AI and HPC, participating in projects at UC3M and CSIC. My focus has been on dynamic search in large combinatorial spaces, supercomputing, and time-series forecasting with deep learning (LSTM, Transformer). These works have led to scientific publications and international collaborations.

Key areas:

• Embedded software and RTOS development (C, C++, NuttX, Linux)
• Parallel and distributed computing (MPI, OpenMP, Redis, SLURM)
• Data science applied to time series and IoT sensors
• Scientific computing and HPC performance engineering

🎓 Education

• B.Sc. in Computer Engineering – Universidad Carlos III de Madrid (2021 – 2025)
  • Final Thesis: Hybrid HPC platform for combinatorial analysis and nuclear data visualization (Grade: 9.6/10).
  • Honors: Systems Distributed, Data Structures & Algorithms, Programming.
  • High Distinction: Cryptography & Security, Software Systems Development & Operation.
• Erasmus – Computer Engineering – RPTU Kaiserslautern-Landau, Germany (10/2024 – 03/2025)

💼 Experience

Embedded Software Developer – Geotab (09/2024 – Present)

• Development of embedded firmware for advanced telematics devices.
• RTOS (NuttX) development and low-level systems programming.
• Implementation of test-driven development (TDD), black-box tests, and HIL platforms.
• International collaboration with teams in Spain and Canada.

Research Assistant – Applied AI Group, UC3M (01/2025 – 07/2025)

• Research on hydrological data analysis using AI algorithms.
• First author of a scientific publication at SOCO 2025.
• Skills: Python, AI, data cleaning, advanced data analytics.

Research Assistant – CSIC (03/2025 – 05/2025)

• Project on visualization and nuclear reactivity based on the Standard Model and NT-FS&L.
• High-performance programming for the DRAGO supercomputer.
• Optimization of mathematical computations in number and group theory.

Intern – Hyperautomation & AI – 300 DEC (09/2023 – 12/2023)

• Developed APIs and cloud automations with Azure Functions and PowerApps.
• Worked on semantic search systems and AI integration.
• Skills: Python, Git, Microsoft Azure.

Event Staff – Access & Identity Control, RPTU (10/2024)

• Managed access at large-scale events, verifying IDs and tickets.
• Handled incidents and supported attendees in Spanish, English, and German.
• Demonstrated adaptability in high-pressure environments.

Private Tutor (08/2022 – 06/2023)

• Taught C programming and POSIX to vocational students.

🏆 Achievements

• Scientific Publication (SOCO 2025) – Deep Learning for Robust Soil Moisture Forecasting Using LSTM and Transformer (First Author).
• Final Degree Thesis (2025) – Graded 9.6/10.
• Honors: Distributed Systems (2024), Data Structures & Algorithms (2022), Programming (2022).

📜 Certifications

• Aptis Advanced (C1) – British Council (2022)
• B2 First (174) – British Council (2020)

🚀 Featured Projects

• P2P File Sharing System (04/2024 – 05/2024) – Distributed file transfer system in C and Python with ONC-RPC and TCP sockets.
• Image Encryption Tool (09/2023 – 12/2023) – Application for encrypting image regions before upload.
• Personal Portfolio in Jekyll (06/2024 – 07/2024) – Static website with CI/CD via GitHub Actions.
• Mario Bros in Python (09/2021 – 12/2021) – Recreation of the first Mario Bros level using Pyxel.
• Bachelor’s Thesis (TFG) – Hybrid HPC platform for nuclear physics combinatorial analysis (protected access).

🔧 Skills

Hard Skills

• Programming: Python, C, C++, POSIX, SQL, RISC-V.
• HPC & Parallel Computing: MPI, OpenMP, Redis, Slurm, HDF5, Eigen, Arrow/Parquet.
• AI & ML: LSTM, Transformer, predictive modeling, data cleaning.
• Embedded & RTOS: NuttX, Linux embedded, firmware, TDD, HIL platforms.
• Security & Cryptography: AES, RSA, PKI, applied projects.
• Data Visualization: Grafana, Python, Matplotlib.
• Web Development: HTML, CSS, JS, Jekyll, GitHub Actions.

Soft Skills

• Teamwork: Course delegate, research collaborations, international projects.
• Problem-solving: Hackathons, datathlons, event management.
• Technical Communication: Academic presentations, publications, research reports.
• Multilingual: Spanish (native), English (C1), German (intermediate).
• Leadership: Lead author in research and degree thesis.

🎗️ Volunteering & Leadership

• Course Delegate (UC3M) (2021 – 2023) – Student representation, conflict mediation.
• Secretary – UC3M Chess Association (2023 – Present) – Event organization and community building.