Maanav Shah

Mechanical/Hardware Engineering Captain at Alphabots Robotics FTC Team 19639
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Contact Information
us****@****om
(386) 825-5501
Location
Fremont, California, United States, US
Languages
  • English Native or bilingual proficiency
  • Spanish Limited working proficiency
  • Gujarati Native or bilingual proficiency

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Bio

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Credentials

  • Data Science: R Basics
    Harvard University
    Jun, 2023
    - Oct, 2024

Experience

    • Robotics Engineering
    • 1 - 100 Employee
    • Mechanical/Hardware Engineering Captain
      • Mar 2021 - Present

      - Co-Founder & Hardware Captain at FTC Team #19639 Alphabots Robotics, leading the hardware team in the creation and building of the robot - Drive the engineering and innovation of the robot and side robot mechanisms, ensuring optimal performance in competitions - Utilize CAD software (OnShape), 3D printing, and CNCs to design and fabricate custom parts, enhancing the robot's capabilities and functionality - Innovate Award and Inspire Award at the Piedmont Qualifier 2022. - Nominated as a Northern California FTC Dean’s List Candidate in 2023 - Oversee G-Suite Accounts as the lead account administrator, streamlining team communications and collaboration - Design and maintain the team website (www.alphabotsrobotics.com), showcasing the team's achievements, projects, and contributions to the community - Successfully fundraise and manage over $10,000 of team funds, supporting essential resources and opportunities for the team's growth and success Show less

    • United States
    • Education Management
    • 1 - 100 Employee
    • Artificial Intelligence/Machine Learning Research Scholar
      • May 2023 - Present

      - Collaborated with a Machine Learning PHD from the University of Oxford to conduct research on stock trading and forecasting - Developed, implemented, and analyzed 3 ML models (CNNs, ANNs, and LSTMs) to predict Apple stock prices utilizing Python and PyTorch - Wrote a detailed 15-page research paper summarizing the findings and insights from the stock trading research - Collaborated with a Machine Learning PHD from the University of Oxford to conduct research on stock trading and forecasting - Developed, implemented, and analyzed 3 ML models (CNNs, ANNs, and LSTMs) to predict Apple stock prices utilizing Python and PyTorch - Wrote a detailed 15-page research paper summarizing the findings and insights from the stock trading research

    • Canada
    • Biotechnology Research
    • AI Scholar
      • Jul 2023 - Present
    • United States
    • 1 - 100 Employee
    • Assistant Senior Patrol Leader Troop 273
      • Jun 2022 - Jan 2023
    • United States
    • Government Administration
    • 300 - 400 Employee
    • Sports Instructor/Extended Care Staff
      • May 2022 - Aug 2022

Education

  • American High School
    High School Class of 2024
    2020 - 2024
  • Foothill College
    Introduction to Personal Finance
    2021 - 2021
  • University of California, Berkeley
    AP Computer Science A: Java
    2022 - 2022
  • University of California, Berkeley
    AP Computer Science Principles
    2021 - 2021
  • University of California, Berkeley
    Introduction to Web Design
    2020 - 2020

Community

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