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.