Shai Kadish

Machine Learning Engineer at Cydar Medical
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Contact Information
us****@****om
(386) 825-5501
Location
London Area, United Kingdom, UK

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Bio

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Credentials

  • Natural Language Processing Specialization
    Coursera
    Apr, 2022
    - Nov, 2024
  • Natural Language Processing with Attention Models
    Coursera
    Apr, 2022
    - Nov, 2024
  • Natural Language Processing with Classification and Vector Spaces
    Coursera
    Apr, 2022
    - Nov, 2024
  • Natural Language Processing with Probabilistic Models
    Coursera
    Apr, 2022
    - Nov, 2024
  • Natural Language Processing with Sequence Models
    Coursera
    Mar, 2022
    - Nov, 2024

Experience

    • United Kingdom
    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Nov 2022 - Present

    • South Africa
    • IT Services and IT Consulting
    • Data Scientist
      • Aug 2021 - Mar 2022

      I did research and development for the MoonShop project while working at Cape AI. This work was primarily computer vision based. I developed algorithms to work towards a completely autonomous retail environment which tracks human actions using computer vision. In addition to this, I developed an algorithm to manage the tracking of multiple individuals across frames. In addition to this development work, I wrote a set of research topics which outlined the future technical development of MoonShop. I also assigned these topics to, and managed, other interns who joined the project after me. Show less

    • Switzerland
    • Research Services
    • 700 & Above Employee
    • Computer Vision Engineer
      • Feb 2020 - Dec 2021

      I developed Computer Vision based tools for the study of a new coolant being deployed at the ATLAS experiment, based at CERN. I developed a traditional image-processing based algorithm for the automatic extraction of the void fraction value from images of bubbly flow. Along with this, I developed a CNN+LSTM model for the classification of flow regime from videos of two-phase flow. I extended this model to directly extract certain fluid-dynamic properties from the input videos through regression. I deployed these CNN+LSTM models in real time, on site, with the aim to use the data produced by these models as sensor data to be used within a control-feedback loop. This work, and more, contributed to my Masters dissertation . Show less

  • Self-employed
    • Cape Town, Western Cape, South Africa
    • Private Tutor
      • Jun 2017 - Dec 2021

      I worked as a private tutor, at a university level, for physics, electronics, control engineering and mathematics throughout my studies. I worked as a private tutor, at a university level, for physics, electronics, control engineering and mathematics throughout my studies.

    • South Africa
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Mar 2021 - Jun 2021

      I worked as the teaching assistant for an Honours level control engineering course. I worked as the teaching assistant for an Honours level control engineering course.

Education

  • University of Cape Town
    Master of Engineering - MSc Eng, Computer Vision and Image Processing
    2020 - 2021
  • University of Cape Town
    Bachelor's degree, BSc (Eng) -First Class Honors in Mechatronics, graduated with distinction
    2016 - 2019

Community

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