CV

Education

• PhD in Computer Vision and Machine Learning, Universidad de Zaragoza, Dec 2025 – Present. Topic: Geometry and learned representations for 3D scene understanding from video. Supervisor: José María Martínez Montiel.
• MSc in Robotics, Graphics and Computer Vision, Universidad de Zaragoza, Sep 2024 – Jan 2026 (GPA: 9.62/10). Thesis: Multimodal Floorplan Encoding (CVG ETH Zurich & Microsoft).
• BSc in Computational Mathematics, Universitat Jaume I, Sep 2019 – Jul 2023 (GPA: 9.26/10, highest in class). Thesis: Geometric foundations for geometry processing of neural implicit SDF representations.

Work experience

• Master Thesis — Multimodal Floorplan Encoding (Sep 2025 – Jan 2026) — Computer Vision and Geometry Lab, ETH Zurich & Microsoft
  • Representation learning and geometry grounded features for multimodal floorplan understanding.
• RobotX Summer Fellowship (Jul 2025 – Sep 2025) — Computer Vision and Geometry Lab, ETH Zurich
  • 3% acceptance ratio. Online scenegraphs from RGB-D videos for robotics and scene understanding.
• AI/CV Researcher (Sep 2024 – Aug 2025) — RoPeRT Group, Zaragoza (Spain)
  • Dense Visual SLAM for in-body robotics. Depth estimation and geometric SLAM combined with learned methods.
• AI/CV Engineer (Mar 2024 – Aug 2024) — Machine Learning Circle, Madrid (Spain)
  • Learned semantic matching. Deep generative models and representation alignment.
• AI/CV Engineer (Sep 2023 – Feb 2024) — Hovering Solutions, Madrid (Spain)
  • Autonomous underground drones. Deep learning for perception and reconstruction (NeRF, Deep SLAM, SFM) on the edge.
• Independent Consultant (Nov 2022 – Feb 2023) — Common Sense Machines, Remote
  • Diffusion models and neural implicit representations inside game engines.
• Study and Research Program (Sep 2020 – Jun 2023) — eVIS, Universitat Jaume I (Spain)
  • Research and formation on deep learning techniques applied to computer vision, including reading groups and scientific writing.
• VR Intern (Jul 2022 – Sep 2022) — University of Eastern Finland, Finland
  • 3D capture (NeRF) and holographic display. Brain-Computer Interfaces in VR.
• Robotics Apprenticeship (Jul 2021 – Sep 2021) — Ingeniarius, Portugal
  • Integrating 4 RGB-D cameras to perform SLAM in simulated forestal environments.
• Research Assistant (Dec 2019 – Dec 2021) — eVIS, Universitat Jaume I (Spain)
  • Machine learning applied to computer vision. Modeling salience of video frames using 3D-CNN.

Internships

• RobotX Summer Fellowship, Computer Vision and Geometry Lab, ETH Zurich, Jul–Sep 2025 (3% acceptance ratio)
• HPC Intern, Karlsruhe Institute of Technology, Germany, Jul–Sep 2023
• VR Intern, University of Eastern Finland, Jul–Sep 2022
• Robotics Apprenticeship, Ingeniarius, Portugal, Jul–Sep 2021

Awards & Honors

• VII Premios Capitanía General de Valencia — Best academic record in Bachelor’s (Engineering/Architecture), Valencian Community
• Extraordinary End-of-Degree Award — Best academic record, Computational Mathematics promotion 2019–2023
• Academic Excellence Ernest Breva — Best academic record in the academic year

Skills

• Programming: Python, C/C++, Matlab
• Deep Learning: PyTorch, Fastai, Hugging Face, TensorFlow; NeRF, Transformers, VAEs, GNNs, Diffusion Models, SLAM
• CV & Robotics: 3D Reconstruction, Scene Understanding, RGB-D Processing, ROS
• Languages: Spanish (Native), English (C1 Advanced)

Publications

Multimodal Floorplan Encoding: Learning Dense Modality-Invariant Representations

Characterizing Players of a Cube Puzzle Game with a Two-level Bag of Words

Download full CV (PDF)