Aerospace Engineer with a solid background in numerical modeling, high-performance computing, and scientific programming. Currently pursuing a Master’s Degree in Industrial Mathematics focused on HPC and simulation.

Skilled in Python, MATLAB, Julia, Fortran, and C/CUDA, with practical experience in GPU optimization and backend development. Possesses a strong analytical mindset and a practical approach to addressing complex real-world engineering challenges through structured reasoning and efficient solutions.

• 2025 - Present: Master’s Degree in Industrial Mathematics at UPM University, MAD, Spain
  • Focused on numerical modeling, simulation, and high-performance computing (HPC).
• 2020 - 2025: Bachelor’s Degree in Aerospace Engineering at ETSIAE - UPM University, MAD, Spain
  • Specialization in Aerospace Sciences and Technologies (CTA), with a focus on numerical modeling and simulation.
• 2025 (5 months): Open Innovation & Entrepreneurship in Asia at Tongji University, Shanghai, China
  • Expert Program from UPM, delivered on-site by Xiji Incubator.

• Participant / Founder – Xiji Incubator, Shanghai (Feb 2025 – Jul 2025)

  • Took part in the incubator’s seed program while developing a personal tech project.
  • Supported outreach and coordination between Spanish and Chinese tech entities, promoting knowledge exchange and innovation.

• Backend Developer – Autonomous Learning, UPM (Mar 2024 – Oct 2024) Project Link

  • Developed RESTful APIs and automated backend systems using Python for student self-evaluation and adaptive feedback.
  • Deployed serverless cloud functions for scalable processing of academic data.

• Research Fellow – Center for Computational Simulation (CCS), UPM (May 2023 – Oct 2023) Paper Link

  • Developed and optimized numerical algorithms for scientific simulation on CPU and GPU architectures.
  • Implemented and benchmarked parallel processing strategies in Fortran, Python, MATLAB, C, and CUDA, focusing on matrix-intensive computations and memory throughput.

• Development of a novel state-of-the-art formulation for solving PDEs with global interpolation. The project introduces a tensorial state formulation of the governing equations, separating spatial discretization from the physical coupling via operator tensors.
• This design enables higher operational intensity and better data locality by exploiting structured stencils, matrix sparsity patterns, and cache-blocked memory layouts.

• IT Solutions for Spain's Two Largest University Communities (Active) applinkers.com

  • Platform serving multiple university communities (Linkers Madrid, Salseo USC, and others) with a combined reach of 200,000+ followers.
  • Developed dedicated websites using Django and Bootstrap and created backend automation tools.
  • Implemented automated mass mailing systems and custom mail content for 20,000+ users via Python and Scaleway Transactional Email, maintaining scalability and cost efficiency.
  • Managed affiliate marketing campaigns and created custom technological solutions to streamline digital infrastructure.

• Personal Home Lab (Ongoing)

  • Maintains a self-hosted environment using Proxmox and Docker, running Linux containers for development, NAS storage, and network testing. Uses the setup to experiment with virtualization, service automation, and reliability under stress conditions.

• Proyecto @aeropedrax (Active) Youtube Channel

  • An initiative aimed at easing the transition to university life by providing useful videos, including concise and introductory classes.

• LoRaCIU (Side-Project, Active) Initial idea

  • A proposal for the Actúa UPM 2022 to provide LoRaWAN coverage for IoT on the Helium Network.

• Programming:
  • Python, MATLAB, Julia, Fortran, C/CUDA.
  • Experience with HPC environments, GPU acceleration, and numerical algorithm design.
• Software Tools:
  • Git, Linux terminal workflows, and Docker-based environments for reproducible research and code deployment.
• Numerical Modeling:
  • Finite-difference and spectral methods, PDE solving, matrix operations optimization, and data locality improvement techniques.
• Aerospace Fundamentals:
  • Solid academic foundation in aerodynamics, flight dynamics, structures, and control systems.

• Spanish: Native
• English: Fluent (IELTS 7.5)
• Mandarin: Basic (HSK 2 level-like)