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Vehicle Integration Engineer Resume

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CA

SKILLS

Languages: C/C++, Python, MATLAB - Confidential, CAPL, ROS, GNU-Octave.

Tools: Fusion-360, Vector, Solidworks, Eagle, CAN/CAN Open, OpenCV, Git, Jira, AutoDesk, ANSYS .

Area of Interests: Autonomous/EV Vehicles, Computer Vision, Controls, DSP, Embedded Systems Machine Learning.

Machining Skills: 3D Printing & Prototyping, PCB Printing, Laser Cutting, CNC Machine, Soldering, Workshop Tools.

WORK EXPERIENCE

Confidential, CA

Vehicle Integration Engineer

Responsibilities:

  • Confidential integration from Chassis/Vehicle controls to IOV/ADAS from vehicle level systems/software/wiring/schematic/diagnostics to CAN/LIN/Ethernet communication.
  • Working with cross-functional teams to make prototype vehicle more advance.

Confidential, CA

Robotics Engineer Intern

Responsibilities:

  • Research and Development of Autonomous vehicle.
  • Designed an electromechanical system for vehicle platform.
  • Optimizing sensor validation requirements, mount designs and CAN network.

Confidential, CA

Robotics Research Intern

Responsibilities:

  • Controlled outdoor servo system using images as feedback using OpenCV and Python.
  • Developed new sensor cluster for detailed environment information surrounding the system.

Confidential, CA

Graduate Research Assistant

Responsibilities:

  • Designed PID controller for 3 DOF arm to control torque in operation.
  • Confidential based controller which converts joint parameters and provide desired motor position to Confidential through wireless communication, which controls the robotic links.
  • Designed and modernized a Land Rover robot to get access to hazardous areas.
  • Piloted the team in modifying its drive system and upgradation the hardware to make it work autonomously.
  • We made it work autonomously running on ROS.
  • Pioneered a low-cost indoor mapping system.
  • Autonomous Confidential runs autonomously using range sensors & can be operated over the Wi-Fi using Intel Edison for mapping surrounding area based on trajectory feedback.

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