Seyed ALi Hosseini

AI Developer at HAFTBANA Architecture Co.
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Contact Information
us****@****om
(386) 825-5501
Location
Tehran, Tehran Province, Iran, IR

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Credentials

  • Reinforcement Learning for Trading Strategies
    Coursera
    Apr, 2023
    - Oct, 2024
  • Reinforcement Learning Specialization
    Coursera
    Jan, 2023
    - Oct, 2024
  • Machine Learning
    Coursera
    Aug, 2022
    - Oct, 2024

Experience

    • Iran
    • Architecture and Planning
    • 1 - 100 Employee
    • AI Developer
      • Feb 2022 - Present

      A Deep Reinforcement learning-based method (Deep Q-Learning) was implemented to optimize the drawing architectural plans. Also, a deep model was implemented to draw different plans according to ground borders A Deep Reinforcement learning-based method (Deep Q-Learning) was implemented to optimize the drawing architectural plans. Also, a deep model was implemented to draw different plans according to ground borders

    • Iran
    • Higher Education
    • 400 - 500 Employee
    • Research Assistant
      • Dec 2021 - Aug 2023

      Military Service was passed as a research assistant at this University. Software for automatic reporting of contracts was designed and implemented with Python GUI. Military Service was passed as a research assistant at this University. Software for automatic reporting of contracts was designed and implemented with Python GUI.

    • AI-Developer
      • Jan 2020 - Jan 2021

      An A2C(Actor-critic) algorithm was implemented to trade automatically in Forex. In addition, some other ML-based algorithms were written to optimize data preprocessing in the financial market An A2C(Actor-critic) algorithm was implemented to trade automatically in Forex. In addition, some other ML-based algorithms were written to optimize data preprocessing in the financial market

Education

  • Petroleum University of Technology
    Master's degree, Automation and Instrumentation
    2018 - 2021
  • Petroleum University of Technology
    Bachelor's degree, Electrical Engineering
    2014 - 2018

Community

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