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Dani MartinezDM

Dani Martinez

PhD. Robotics and Computer vision Senior Engineer

€390/day
Lleida, ES
15+ years

Average response time: 1 hour

About Dani

My expertise profile and my interests are mainly focused on robotics, industrial automation, computer vision, deep learning, system integration, and information technologies in general. I am very proud of having worked many years in a multidisciplinary environment providing me a solid and wide vision of tech projects. Now, I have developed a special interest for being part of multidisciplinary teams since I think that it is essential for professional growth and innovative project awareness. I usually work closely with highly-skilled mechanical and electronic engineers in order to effectively fulfill with the most complex demands of my clients.
  • English

    Fluent

  • Spanish

    Native or bilingual

  • Catalan

    Native or bilingual

Can work on-site
Lleida (up to 50km), Barcelona (up to 50km), Zaragoza (up to 50km), Valencia (up to 50km)

Experience

  • MOBLANC Robotics (private company)
    Freelancer engineer
    TECH
    September 2020 - Today (5 years and 9 months)
    Binéfar, AR, Spain
    Technology consulting, development, and integration of different
    specialized robotic systems. Main projects are: Development of high-throughput imaging robotic systems for Cornell University and USDA. More specifically, the commercialization of the Blackbird Imaging robot and the development of the hyperspectral version, Hyperbird.
    C++ Docker Camera optics OpenCV ROS2
  • Quercus Technologies (private company)
    Computer Vision Researcher
    April 2020 - April 2025 (5 years)
    Reus, CT, Spain
    Project lead on the development of a cutting-edge vision-enabled smart device
    for vehicle supervision on parking environments.
    Assessment, design, and development of state-of-the-art deep learning
    models for computer vision which are implemented in an low-cost ARM-based
    device with multiple cameras and a Neural Processing Unit (NPU) for high-performance local inference. The final application is to detect vehicle related
    events and to perform License Plate Recognition (LPR) in multiple countries
  • Cornell University
    Postdoctoral Associate
    RESEARCH
    January 2018 - January 2020 (2 years)
    Castle Creek Drive, Geneva, NY, USA
    Project lead on the development of a high-throughput plant phenotyping device
    for laboratory environments. The device named "Blackbird" is capable of taking
    ultra-high resolution images of 1cm leaf samples (micron-scale) which will
    be used to determine disease severity by means of using own deep learning
    models for image classification. The goal of this project is to accelerate QTL
    association between phenotypes and genotypes of grapevine varieties in order
    to find resistance against Powdery Mildew. This project has been carried out
    under the scope of the multi-institutional project, VitisGen 2, led by Cornell
    University.

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Education

  • Doctor of Philosophy (PhD) in Engineering and Information Technologies
    University of Lleida
    2017
    Grade: Cum laude PhD Thesis title: Application of autonomous mobile platforms for environmental supervision and gas leakage localization.
  • Master Degree in Computer Science Engineering
    University of Lleida
    2013
    Master thesis: Development of a mobile soccer robot based on a Google Android smartphone.

Skill set

Categories