Amir Hakim

Machine Learning Engineer at Neural Technologies Group
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Contact Information
us****@****om
(386) 825-5501
Location
Kajang, Selangor, Malaysia, MY
Languages
  • English Professional working proficiency
  • Malay Native or bilingual proficiency

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Bio

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Credentials

  • Machine Learning Specialization
    DeepLearning.AI
    Mar, 2023
    - Oct, 2024
  • SQL - MySQL for Data Analytics and Business Intelligence
    Udemy
    Feb, 2023
    - Oct, 2024
  • IBM Data Analyst Professional Certificate
    IBM
    Jan, 2023
    - Oct, 2024
  • Tableau 2022 A-Z: Hands-On Tableau Training for Data Science
    Udemy
    Jan, 2023
    - Oct, 2024
  • Computer Vision in Microsoft Azure
    Coursera
    Dec, 2022
    - Oct, 2024
  • Microsoft Azure Machine Learning
    Coursera
    Dec, 2022
    - Oct, 2024
  • Microsoft Power BI Desktop for Business Intelligence
    Udemy
    Dec, 2022
    - Oct, 2024
  • IBM Data Science Professional Certificate (V2)
    IBM
    Nov, 2022
    - Oct, 2024
  • Graduate Engineer
    Board of Engineers Malaysia
    Oct, 2022
    - Oct, 2024
  • Machine Learning with Python
    Coursera
    Oct, 2022
    - Oct, 2024
  • Databases and SQL for Data Science with Python
    Coursera
    Aug, 2022
    - Oct, 2024

Experience

    • United Kingdom
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Aug 2023 - Present
    • Design Engineer
      • Jan 2022 - Apr 2022

      - Performed regular data verification to detect incorrect changes in backlight parameters for pre-released Google TV software versions. - Collaborated with senior design engineers in developing an automated process for arranging waveforms from an oscilloscope to excel using Python to reduce evaluation time on Sony's prototype TV model's local-dimming board. - Presented weekly on personal progress and results of various backlight-related research and experiments to the backlight system team. Researched and presented topics: ⠀⠀⠀ - Brightness ⠀⠀⠀ - Dynamic Backlight ⠀⠀⠀ - Clearness ⠀⠀⠀ - Light Sensor & Overheat Protection. Show less

Education

  • Universiti Tenaga Nasional
    Bachelor of Engineering - BE, Electrical and Electronics Engineering
    2018 - 2022
  • Universiti Malaysia Sarawak (UNIMAS)
    Foundation degree, Physics
    2016 - 2017

Community

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