Juan Ignacio Caballero, Ph. D.

Computer vision engineer

Madrid, Community of Madrid, Spain

About

As a driven and innovative individual, I am currently on the cusp of completing my international PhD in developing cutting-edge machine learning methods for image and signal analysis in the composite materials field. With a background in the aerospace industry and IT consultancy, I have been able to seamlessly transition into the world of data analysis. My skill set and passion for exploring novel approaches in artificial intelligence have allowed me to make significant contributions in the field, and I am excited to continue improving and develop new solutions.

Experience

  • Computer Vision Software Engineer - Project Hafnia at Milestone Systems
    Apr 2026 - Present · 3 mos

  • Computer Vision Software Engineer at Ommatidia LIDAR
    Jun 2023 - Apr 2026 · 2 yrs 11 mos

  • Machine Learning Researcher at Universidad Politécnica de Madrid
    Jun 2019 - Jun 2023 · 4 yrs 1 mo

    PhD in Machine Learning methods, Nondestructive inspection and Materials science. MAT4.0 Research program • Developing datasets of defects in composite materials > Data preprocessing: exploration, visualization, cleaning and etc. • X-ray computed tomography (XCT) and ultrasonic testing (UT) inspections. > Perform XCT image auxiliary tasks (Equalization,volume concatenation...) > Design and conduct UT testing. Water pulse-echo, Air transmission, and Phased array sistems. > Image and signal analysis related to XCT & UT. • Develop data-driven methodologies to relate XCT and UT data. > Relate defect characterization through data fusion. (Image registration, estimation of properties) • Image and signal analysis using python and Fiji: > Compute properties in signal data (FFT, analytical signal, peaks analysis...) > Develop automatic segmentation algorithms: local thresholds, deep learning (CNNs) etc. > Develop defect characterization. Automatic measurement of image properties (lenght, area, orientation...) • Responsible in a project with a external company: > Analysis of technology transfer opportunities. > Team and project management. • Proactive and colaborative profile: > Search for a collaboration in the ultrasonic field. > PhD stay at Fraunhofer IZFP.

  • Visiting Researcher at Fraunhofer IZFP
    Apr 2022 - Jul 2022 · 4 mos

    PhD stay. • Develop deep learning segmentation models for Ultrasonic testing. • Develop image registration approaches. • Design and conduct UT testing. Water pulse-echo, Air transmission, and Phased array systems.

  • IT Consultancy (Enterprise Performance Management) at Nova Praxis
    May 2018 - Jun 2019 · 1 yr 2 mos

    • Oracle PBCS (cloud)