Filipe Marques

Machine Learning & Computer Vision Researcher at Ocean Infinity
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Contact Information
us****@****om
(386) 825-5501
Location
Porto, Porto, Portugal, PT

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Experience

    • United States
    • Robotics Engineering
    • 300 - 400 Employee
    • Machine Learning & Computer Vision Researcher
      • May 2021 - Present

      Ocean Infinity acquired Abyssal in 2021. Integrating Abyssal’s software expertise with Ocean Infinity’s robotic fleet will further underpin the company’s safe and secure data acquisition operations through the development of operational simulation, fleet management and cloud data tools. Ocean Infinity is a pioneer of large scale marine robotic operations deploying robotic technologies to capture ocean data and deliver maritime solutions whilst minimising our environmental footprint. We are building the world’s largest fleet of marine robotic vehicles, offering the safest and most sustainable operations the industry has ever seen. Our purpose is to innovate using robotics and technology to transform industries, enabling people and the planet to thrive. Show less

    • Portugal
    • Software Development
    • 1 - 100 Employee
    • Machine Learning & Computer Vision Researcher
      • Nov 2018 - May 2021

      As a machine learning researcher at Abyssal, I am currently working on developing novel algorithms for the underwater environment with the ambitious goal of automate subsea operations, by controlling ROVs (Remotely Operated Vehicles) for inspection and maintenance. This involves classic 3D Computer vision methods (e.g. SLAM) along with Deep Learning methods such as CNNs. As a machine learning researcher at Abyssal, I am currently working on developing novel algorithms for the underwater environment with the ambitious goal of automate subsea operations, by controlling ROVs (Remotely Operated Vehicles) for inspection and maintenance. This involves classic 3D Computer vision methods (e.g. SLAM) along with Deep Learning methods such as CNNs.

    • Portugal
    • Research Services
    • 400 - 500 Employee
    • Networked Intelligent Systems Intern
      • Feb 2018 - Jul 2018

      MSc thesis focused on AI and predictive models for Facial Expression Recognition (FER) using Machine Learning/Deep Learning and Pattern Recognition Techniques MSc thesis focused on AI and predictive models for Facial Expression Recognition (FER) using Machine Learning/Deep Learning and Pattern Recognition Techniques

    • Portugal
    • IT Services and IT Consulting
    • 500 - 600 Employee
    • Prime College Ambassador
      • Oct 2017 - Jul 2018

      PrimeIT is an international company with more than 10 years of experience delivering the best solutions in a wide range of services: Consultancy, turn-key projects, project management and Nearshore Solutions. We operate in 5 main sectors - IT, Telecommunications, Energy, Infrastructures & Digital Marketing - and have a team of more than 1000 Primers involved in the development of projects all across the globe. As a Prime College Ambassador, my main function is to represent Prime IT at FEUP. We have a unique attitude and a distinctive culture based on the happiness of our amazing team of IT experts, that allow us to achieve continuous growth and success. Want to know more about PrimeIT? Visit www.primeit.pt or get in touch with me! LISBON | PORTO | PARIS | LYON | NANTES | MADRID | LONDON | GENEVA | LILLE | AIX-EN-PROVENCE www.primeit.pt/en www.primenearshore.com Show less

    • Portugal
    • Medical Device
    • 1 - 100 Employee
    • Internship
      • Aug 2017 - Oct 2017

      Biomedical intern at Adapttech. I worked with machine/deep learning algorithms to automatically classify sensors - Computer Vision Biomedical intern at Adapttech. I worked with machine/deep learning algorithms to automatically classify sensors - Computer Vision

    • Netherlands
    • Hospitals and Health Care
    • 700 & Above Employee
    • Research Internship
      • Feb 2017 - Jul 2017

      Lung Texture analysis from computed tomography scans using deep learning/machine learning approaches - Supervised by Dr. Marleen de Bruijne Lung Texture analysis from computed tomography scans using deep learning/machine learning approaches - Supervised by Dr. Marleen de Bruijne

    • Business Consulting and Services
    • 1 - 100 Employee
    • Back-end Developer
      • Oct 2016 - Jan 2017

      As member of a junior enterprise I took part in projects proposed by companies covering web apps development. With this I learned my first skills as back-end developer using laravel framework. As member of a junior enterprise I took part in projects proposed by companies covering web apps development. With this I learned my first skills as back-end developer using laravel framework.

Education

  • Faculdade de Engenharia da Universidade do Porto
    Master's degree, Bioengineering and Biomedical Engineering
    2013 - 2018
  • Colegio Paulo VI
    Pre-University Education, Science and Technology

Community

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