João Gueifão

Computer Vision Engineer at Catapult
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Contact Information
us****@****om
(386) 825-5501
Location
London, England, United Kingdom, UK
Languages
  • English Full professional proficiency
  • Portuguese Native or bilingual proficiency
  • French Elementary proficiency

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Emilio Nicoli

One does not always have the absolute pleasure of working with a complete genius that is both smart and fun to be around. João is the latter and more. I consider myself lucky for having worked with him since he is a little picky about what he devotes his time to. The project certainly has to be interesting and mind-bending. Joao and I worked for a number of years on a distributed botnet as "bot-farmers" that mined and published data to a number of cool companies. In fact, his effort is currently influencing the Google Maps routing algorithm. João, is just super smart and I can put together a list of things that I have learned from him. Joao, I am grateful to call you my colleague and and fellow technical conspirator. You are awesome!

Emilio Nicoli

I've been working with Joao at Elgin for a number of years and really enjoyed working with him. He is methodical and always willing to impart with a bit of knowledge sharing. Plus, he's a bit of a comedian as well; it never hurts when trying to solve some deep coding problems. What a great guy!

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Credentials

  • Essential Google Cloud Infrastructure: Foundation
    Coursera
    Feb, 2021
    - Nov, 2024
  • Google Cloud Platform Fundamentals: Core Infrastructure
    Coursera
    Feb, 2021
    - Nov, 2024
  • Kaggle Micro-course in Python
    Kaggle
    Jul, 2020
    - Nov, 2024
  • Deep Learning Specialization
    Coursera
    Sep, 2019
    - Nov, 2024
  • Master's Degree in Electrical Engineering and Computer Science
    Instituto Superior Técnico
    Jan, 2015
    - Nov, 2024
  • Licentiate's Degree in Electrical Engineering and Computer Science
    Instituto Superior Técnico
    Jan, 2013
    - Nov, 2024

Experience

    • Australia
    • Software Development
    • 300 - 400 Employee
    • Computer Vision Engineer
      • 2022 - Present

      Development of Computer-Vision features for improvement of software for sports analysis: - Background Segmentation of players on the pitch, in real-time - Player tracking in quasi-real-time - Computational Geometry for 3D Perspective computation in quasi real-time Technologies used: OpenCV, Python, C++, Qt, Visual Studio Targets: PC, Mac, iPad www.catapult.com www.sbgsportssoftware.com Development of Computer-Vision features for improvement of software for sports analysis: - Background Segmentation of players on the pitch, in real-time - Player tracking in quasi-real-time - Computational Geometry for 3D Perspective computation in quasi real-time Technologies used: OpenCV, Python, C++, Qt, Visual Studio Targets: PC, Mac, iPad www.catapult.com www.sbgsportssoftware.com

    • United Kingdom
    • Technology, Information and Internet
    • 1 - 100 Employee
    • AI Engineer
      • 2020 - 2021

    • Germany
    • Motor Vehicle Manufacturing
    • 700 & Above Employee
    • Computer Vision Engineer
      • 2019 - 2021

      - Algorithm development for Multiple View Geometry / 3D - Depth Reconstruction / Stereo imaging using calibrated car-mounted fisheye cameras and odometry signals, within the context of low-speed manoeuvring driving functions, under the ADAS (Advanced Driver-Assistance-Systems) division. - Implementation in C and C++ programming languages, under stricter MISRA automotive guidelines, and usage of Python and MATLAB for data analysis and prototyping tasks. - Implementation of Engineering Requirements within the ASPICE framework. - Algorithm development within Key-Performance-Indicator analysis and Quality-Management frameworks for performance regression analysis. - Car-mounted-imaging-radar data analysis for classification of obstacles in the road. - Usage of popular Continuous Integration and software versioning tools for day-to-day development. - Working under the Agile Scrum methodology. Show less

    • Portugal
    • Information Technology & Services
    • 200 - 300 Employee
    • Computer Vision Engineer
      • 2015 - 2019

      Internship Mentor regarding Camera Calibration and 3D/Stereo Vision. Computer Vision and Machine Learning research and implementation for Unmanned aircraft: - Analysis of state-of-the-art and development of several Computer Vision in strict real-time algorithms: Video Moving Target Indication (VMTI), non-planar video stabilisation, text detection in natural imagery, object segmentation and movement tracking in the presence of strong camera displacement and low image quality. Use of C#, C++ and C++/CLI (Interop) programming languages and auxiliary use of OpenCV library. Targetting both desktop and embedded (resource-constrained) environments. - 2D Terrain Mapping/Mosaicing at the scale of several kilometres. - Inspection and synchronisation of MPEG2-TS video streams. Development of FFmpeg and GStreamer command-line pipelines and use of FFmpeg C/C++ libraries. - Research in Remote Sensing, targeted at vegetation disease detection using hyperspectral imaging, statistical analysis and machine learning algorithms. - Interoperability programming between native C++ and the .NET framework. Show less

Education

  • Instituto Superior Técnico
    MSc in Electrical Engineering and Computer Science (Integrated Masters), Specialization in Systems, Decision and Control (Robotics)
    2008 - 2015
  • Coursera - deeplearning.ai
    Coursera Specialisation, Deep Learning
    2019 - 2019
  • Trinity College, London
    First Degree (6.0 ECTS), Singing
    2013 - 2013
  • Escola Secundária de Tondela
    Secondary Education, Science and Technology
    2004 - 2007

Community

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