Ashkan Arabi-Mianroodi

Student Coordinator at AI4ALL
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Contact Information
us****@****om
(386) 825-5501
Location
El Paso, Texas, United States, US
Languages
  • English Native or bilingual proficiency
  • Persian Native or bilingual proficiency
  • Spanish Full professional proficiency
  • French Limited working proficiency

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Bio

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Credentials

  • Neural Networks and Deep Learning
    Coursera
    Jul, 2023
    - Oct, 2024
  • Excel with Dell
    Dell Technologies
    Apr, 2023
    - Oct, 2024
  • GitHub All In Graduate
    GitHub
    Apr, 2023
    - Oct, 2024
  • Intro to BigQuery: Analytics
    Google Cloud Skills Boost
    Nov, 2022
    - Oct, 2024

Experience

    • E-learning
    • Student Coordinator
      • Aug 2023 - Present

      - Mentored and guided 16 students across 4 project groups in AI4ALL's Apply AI program. - Hosted online workshops and events, such as the program launch, proposal, and final presentation. - Served as the direct point of contact of each group, answering any questions and working with them to resolve project issues. - Mentored and guided 16 students across 4 project groups in AI4ALL's Apply AI program. - Hosted online workshops and events, such as the program launch, proposal, and final presentation. - Served as the direct point of contact of each group, answering any questions and working with them to resolve project issues.

    • Computer Lab Assistant
      • Jan 2023 - Present

      - Provided top-tier hardware & software tech support for 10+ students, staff, and faculty daily. - Maintained and updated hardware & software of 500+ computers through regular checkups. - Provided top-tier hardware & software tech support for 10+ students, staff, and faculty daily. - Maintained and updated hardware & software of 500+ computers through regular checkups.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher
      • Jun 2023 - Jul 2023

      - Conducted original research in team of 2 on using Wi-Fi CSI for hand gesture recognition on smartphones. - Developed CNN architecture to classify 5 gestures from 4 people in 6 scenarios. - Obtained >90% classification accuracy by using techniques such as LR Decay. - First place for the best REU site final presentation. - Paper accepted to ACM Mobihoc's proceedings. - Conducted original research in team of 2 on using Wi-Fi CSI for hand gesture recognition on smartphones. - Developed CNN architecture to classify 5 gestures from 4 people in 6 scenarios. - Obtained >90% classification accuracy by using techniques such as LR Decay. - First place for the best REU site final presentation. - Paper accepted to ACM Mobihoc's proceedings.

    • AI4ALL College Pathways Participant
      • Sep 2022 - May 2023

      - Led team of 3 to meet project deadlines by dividing tasks based on skill level. - Developed convolutional model to classify music genres based on their Mel spectrogram. - Learned about the applications and fundamental technical concepts of AI including the types of machine learning techniques and neural networks. - Investigated ethical implications related to data processing and AI implementation - Collaborated with peers on a project to preditct sudents' academic performance in college based on their background. Show less

Education

  • The University of Texas at El Paso
    Bachelor of Science - BS, Computer Science
    2022 - 2026
  • Coronado High School
    High School Diploma
    2021 - 2022
  • Allameh Helli school
    2019 - 2021

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