Francisco Granda

Software Engineer at Unmanned Vehicle Applied Dynamics Inc. (UVAD)
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Contact Information
us****@****om
(386) 825-5501
Location
Canada, CA

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Credentials

  • ESET Cyber Security Awareness Training Certificate
    ESET North America
    Jul, 2023
    - Sep, 2024

Experience

  • Unmanned Vehicle Applied Dynamics Inc. (UVAD)
    • Software Engineer
      • Sep 2022 - Present
  • University of Toronto Aerospace Team
    • Canada
    • Aviation and Aerospace Component Manufacturing
    • 1 - 100 Employee
    • ADCS Project Engineer
      • Oct 2021 - Sep 2022

      Review and implementation of attitude determination algorithms, state estimation and sensor fusion for a CubeSat for the FINCH mission. Development and simulation on MATLAB and Simulink for nonlinear models, extended Kalman filter, orbit propagation and magnetic field. Review and implementation of attitude determination algorithms, state estimation and sensor fusion for a CubeSat for the FINCH mission. Development and simulation on MATLAB and Simulink for nonlinear models, extended Kalman filter, orbit propagation and magnetic field.

  • aUToronto
    • Canada
    • Automotive
    • 1 - 100 Employee
    • Lead Electrical Engineer
      • Sep 2021 - Jun 2022

      Development of synchronization systems for a variety of sensors (LiDAR, Cameras, IMU, GPS) reaching sub-microsecond accuracy with FPGA and Network Time Protocol. Electrical hardware management and installation focused on safety and modularity. Development of synchronization systems for a variety of sensors (LiDAR, Cameras, IMU, GPS) reaching sub-microsecond accuracy with FPGA and Network Time Protocol. Electrical hardware management and installation focused on safety and modularity.

  • Universidad San Francisco de Quito
    • Ecuador
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • May 2018 - Dec 2018

      Digital signal processing of seismic signals using state-of-the art methods for result association with civil engineering projects. Digital signal processing of seismic signals using state-of-the art methods for result association with civil engineering projects.

Education

  • University of Toronto
    Master of Engineering - MEng, Aerospace Science and Engineering
    2020 - 2022
  • Universidad San Francisco de Quito
    Electrical Engineer - Cum Laude, Electrical and Electronics Engineering
    2014 - 2019

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