Experience
Cofounder
Caudals
- Cofounded an applied AI startup focused on datasets, LLM-based solutions, automation workflows, and cloud/edge infrastructure.
- Designed and developed data pipelines, ML integrations, and scalable software architectures to help businesses deploy intelligent systems in real-world environments.
2025 - Present
Valladolid, Spain
Research Intern - Telematics and Image Group
Department of Signal Theory, Communications and Telematics Engineering, University of Valladolid
- Develop computer vision and deep learning systems for biomechanical analysis of the human body.
- Build telerehabilitation tools from monocular video, inertial sensors, and kinematic data.
- Benchmark state-of-the-art 3D human pose estimation models against IMU-based references for daily living activities.
2024 - 2026
Valladolid, Spain
Education
MSc in Telecommunications Engineering
ETSIT, University of Valladolid
2025 - Present
Valladolid, Spain
BSc in Telecommunications Engineering
ETSIT, University of Valladolid
2021 - 2025
Valladolid, Spain
42 Common Core
42 School, Telefonica Madrid
2023 - 2024
Madrid, Spain
Baccalaureat general, scientific specialisations
Clermont-Ferrand Academy
2019 - 2021
Clermont-Ferrand, France
Projects
Caudals - B2B AI Dataset Marketplace
Building a startup that helps companies monetize proprietary data and helps AI teams buy clean, compliant, ML-ready datasets for training, fine-tuning, evaluation, and enrichment.
The product combines buyer and supplier intake, dataset feasibility studies, rights and privacy review, preprocessing, cleaning, anonymization, enrichment, labeling, QA, documentation, and delivery through private offers or future marketplace listings.
2026 - Present
Connected Vehicle Prototype - 4G, AI, and Autonomous Control
Project Workshop II prototype integrating a 4G/LTE network, artificial intelligence, and a connected vehicle workflow to detect traffic signs and act on a small autonomous car.
Worked from a system architecture using srsRAN 4G, BladeRF, MQTT, AWS DeepRacer, Roboflow, YOLO26, Jetson Orin Nano, LTE performance measurements, and edge inference to evaluate latency, reliability, and real-time control constraints.
2026
Deep Learning for Human Pose Estimation and Gait Segmentation
Evaluated MotionAGFormer, MotionBERT, VideoPose3D/MMPose, and NVIDIA BodyTrack for 3D human pose estimation from monocular video against IMU reference data. MotionAGFormer achieved the strongest global performance in the evaluated dataset, with a 9.27 degree RMSE and a 0.86 Pearson correlation.
Developed a gait phase segmentation workflow using IMU angular velocity, supervised labelling, and a BiLSTM model trained on knee joint angle sequences. The model reached more than 80% F1-score and accuracy on inertial data, and around 70% on video-derived angles.
2025
IoT Datalogger - Electronic Systems
Designed and integrated a radiosonde-inspired IoT datalogger with four stacked PCBs: power and programming, FPGA-based control, environmental sensing and GPS, and LoRa communications at 868 MHz. The prototype used Proteus for schematic capture, custom footprints, PCB routing, Gerber generation, BOM management, and fabrication files.
Worked on a system including a Lattice iCE40HX4K FPGA, a RISC-V control architecture, C firmware, Verilog peripherals, UART/SPI/I2C sensor interfaces, BME680 environmental sensing, GPS, MQ9 gas sensing, GP2Y1010 dust sensing, and LoRa data transmission.
2026
IoT Datalogger - Communication Systems
Designed, simulated, fabricated, and validated the RF communication subsystem for the datalogger. The system used LoRa at 868 MHz through an SX1262-based module, SPI-controlled prototyping boards, and a base station workflow for environmental and GPS measurements.
Compared an external patch antenna and a PCB-integrated folded monopole antenna using ANSYS HFSS, NanoVNA measurements, S11, impedance, VSWR, link budget calculations, Xirio Online coverage studies, and lab transmission tests.
2026
Publications
Paving the Way Towards Kinematic Assessment Using Monocular Video: A Benchmark of State-of-the-Art Deep-Learning-Based 3D Human Pose Estimators Against Inertial Sensors in Daily Living Activities
First author - Artificial Intelligence Review
Comparative evaluation of monocular deep learning pose estimation and IMU-based systems for remote kinematic assessment
First author - Gait & Posture
Languages
Spanish (native), English (C2), French (B2), German (B1).
Certifications
IBM Data Analyst Specialization
IBM
2025
Machine Learning Specialization
DeepLearning.AI
2025
Fundamentals of Deep Learning
NVIDIA
2024
Introduction to Deep Learning with PyTorch
UVaIA Center
2024
Computer Vision Certification
UVaIA Center
2024
Digital Competences Certificate B2
Regional Government of Castile and Leon
2023
German B1 Certificate
University of Valladolid Foundation
2023
Driving Licence B
Spanish Directorate-General for Traffic
2022
The Complete JavaScript Course
Udemy
2022
Certificate of Proficiency in English C2
University of Cambridge
2021
DELF B2 French Diploma
Alliance Francaise Madrid
2021
Awards
First Prize TalenTIC 2025 for ICT innovation
Inetum, University of Valladolid
2026
Consolida Startup Program
IdeVa, Valladolid City Council
2026
Extraordinary Baccalaureate Award
Regional Government of Castile and Leon
2021
Extraordinary Secondary Education Award
Regional Government of Castile and Leon
2019
Skills & Tools
Python, Pandas, Scikit-learn, Matplotlib, OpenCV, PyTorch, TensorFlow, deep learning, computer vision, data analysis, biomechanical signal processing, Git, C, Java, MATLAB, JavaScript, React, Node.js, Linux, Docker, Kubernetes, Azure, AWS, electronic circuit design, PCB design, RF, IoT, communication networks, and communication protocols.