Braden Hurl

Research Development Team Lead at RoboEye.ai
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Contact Information
us****@****om
(386) 825-5501
Location
Toronto, Ontario, Canada, CA
Languages
  • French -
  • Spanish -

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Jason Ku

I had the pleasure of working with Braden for 2 years at RoboEye. During that time I observed that he was always willing to take on new challenges, and I appreciated his meticulous approach to creating maintainable code. From his work as a research engineer where he built a clever modular framework that served as a strong foundation for projects, to his role as team lead where he managed expectations well and effectively prioritized tasks to keep our projects on track, Braden showed that he will be an enthusiastic and reliable part of any team.

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Experience

    • Canada
    • Software Development
    • 1 - 100 Employee
    • Research Development Team Lead
      • Jun 2021 - Present

      * Coordinate R&D team to research and develop data-driven computer vision and robotics solutions

    • Research Engineer
      • Dec 2019 - Present

      Computer Vision Research & DevelopmentSome of the tasks I've worked on: • Modular framework and base CV classes • Traditional CV detection and registration algorithms • 3D pointcloud processing • 3D labelling tool • Deep learning for semantic segmentation/object detection in PyTorch • Server architecture and development • CV ROS nodes • Real-time optimization • Model Deployment and Quantization

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Graduate Student
      • Sep 2017 - Sep 2019

      Master's of Math in computer science, specializing in AI and machine learning for autonomous vehicles. On the perception team in the WISE lab which is focused on developing the Autonomoose, a fully autonomous vehicle. My projects have consisted of synthetic data generation and cooperative perception. My first project has already been published in the IEEE Intelligent Vehicles Symposium 2019 and can be accessed at this link: https://arxiv.org/abs/1905.00160 Master's of Math in computer science, specializing in AI and machine learning for autonomous vehicles. On the perception team in the WISE lab which is focused on developing the Autonomoose, a fully autonomous vehicle. My projects have consisted of synthetic data generation and cooperative perception. My first project has already been published in the IEEE Intelligent Vehicles Symposium 2019 and can be accessed at this link: https://arxiv.org/abs/1905.00160

    • Canada
    • Appliances, Electrical, and Electronics Manufacturing
    • 1 - 100 Employee
    • Systems Engineer
      • May 2015 - Jul 2017

      C++ development for digital video recording software. Software lead for a large scale network DVR project. IO Industries designs and manufactures digital video cameras and digital video recorders for applications in aerospace, defense testing, medical, scientific, machine vision, broadcast and cinema. C++ development for digital video recording software. Software lead for a large scale network DVR project. IO Industries designs and manufactures digital video cameras and digital video recorders for applications in aerospace, defense testing, medical, scientific, machine vision, broadcast and cinema.

    • Research Assistant
      • Sep 2013 - Dec 2013

    • Canada
    • Telecommunications
    • 700 & Above Employee
    • Software Engineering Co-op
      • Jan 2013 - Apr 2013

    • Canada
    • Machinery Manufacturing
    • 400 - 500 Employee
    • Manufacturing Engineering Co-op
      • May 2012 - Aug 2012

  • Fort Garry Fire Trucks
    • Winnipeg, Canada Area
    • Engineering Co-op Student
      • Jan 2011 - Apr 2011

Education

  • University of Waterloo
    Master of Math, Computer Science
    2017 - 2019
  • University of Waterloo
    Bachelor of Applied Science (B.A.Sc.), Systems Design Engineering
    2010 - 2015
  • University of Waterloo
    Bachelor of Science (BS), Systems Design Engineering
    2010 - 2015

Community

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