Christopher Ayling

CUDA and Deep Learning Engineer at Strong Compute
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Brisbane Area, AU
Languages
  • Japanese Elementary proficiency

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Bio

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Credentials

  • Blue Card
    Queensland Government
  • CPR
    Immediate Response First Aid
  • First Aid
    Immediate Response First Aid
  • Responsible Serving Of Alcohol
    Express Online Training

Experience

    • Australia
    • Software Development
    • 1 - 100 Employee
    • CUDA and Deep Learning Engineer
      • Mar 2022 - Present

      Writing highly optimised Deep Learning code using CUDA and C++ Writing highly optimised Deep Learning code using CUDA and C++

    • Private Machine Learning Tutor
      • Jul 2021 - Mar 2022

      I taught industry standard and novel machine learning techniques online. I taught industry standard and novel machine learning techniques online.

    • Partner
      • Jul 2019 - Mar 2022

      Designing and building machine learning models, data pipelines and trading strategies. Working with users to design and build portfolio dashboards and trading interfaces. Designing and building machine learning models, data pipelines and trading strategies. Working with users to design and build portfolio dashboards and trading interfaces.

    • Australia
    • Information Technology & Services
    • 100 - 200 Employee
    • Associate Automation Engineer
      • Sep 2017 - Jul 2019

      Solving process automation problems with deep learning and cloud infrastructure. Major projects: Natural Language Processing for resume classification and ranking and Computer Vision for defect detection in pipes in videos. Solving process automation problems with deep learning and cloud infrastructure. Major projects: Natural Language Processing for resume classification and ranking and Computer Vision for defect detection in pipes in videos.

Education

  • QUT (Queensland University of Technology)
    Bachelor's degree, Computer Science
    2016 - 2019
  • QUT (Queensland University of Technology)
    Bachelor's degree, Sport and Exercise Science
    2022 - 2026

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