I am a first year MS student at the University of Minnesota Twin Cities. I am currently looking for Summer internships in thee field of Robotics, Computer Vision and Automation.

1. Amol Vagad 414 Erie Street, Minneapolis, MN 55414
612-481-2013
amolvagad@gmail.com
SUMMARY
Highly motivated graduate student seeking internship/co-op opportunities for Summer 2017 in the field of Robotics, Controls and Automation.
EDUCATION
Master of Science (M.S) [ Sep 2016-May 2018]
University of Minnesota-Twin Cities, Minneapolis, MN
Major: Electrical Engineering
Minors: Computer Science and Scientific Computations
Courses: Robotics, Computer Vision, Advanced Algorithms, Modern Control, Robust Control.
GPA: 3.55/4.0
Bachelor of Engineering (B.E) [ 2012-2016]
University of Mumbai, Mumbai, India
Major : Instrumentation Engineering
GPA: 8.41/10.0
WORK EXPERIENCE
Summer Intern [June-July 2015]
Air India Ltd, Mumbai, India
Assisted to acquire and load data from the SSFDR using Rose software.
Carried out testing of the air conditioning system, refrigerators and ovens.
Collaborated with a multi-disciplinary team of software, electrical, and aerospace engineers
SKILLS
Computer Languages: MATLAB, C/C++, Python, PLC Ladder and Assembly
Design & Simulation: OpenCV, ROS, Gazebo, Arduino,NI Lab View, and Keil uVision IDEDelta V DCS, Simulink, AutoCAD
Operating Systems: Windows, Linux and Raspbian.
Documentation : Github, MS Office and Latex
PROJECTS
Advanced Driver Assisting System Using Computer Vision Feb 2017- Present
Detecting vehicles , lanes, traffic signal for autonomous vehicles using computer vision
Currently developing algorithms for vehicle detection
Implementing algorithms using OpenCV and C++
Robot Platoon System using ROS Oct-Dec 2016
Designed a leader-follower platoon system using autonomous mobile robots Pioneer 3-DX and SICK Laser sensor with ROS.
Implemented wall following and segmentation algorithms for the leader and follower robots respectively using Python 3.5 in Linux
Adaptive Cruise Control for Vehicle Platoons March 2017- Present
Developed optimal control methods for vehicular platoons
Implemented Linear Quadratic Regulator control scheme
Generated simulations for test data using MATLAB
Blood Alcohol Measurement for Drivers Jun-Sep 2015
Developed an Arduino-Uno and MQ-3 gas sensor based system to measure BAC levels of car drivers.
Created a control system to restrict inebriated drivers from starting a car.
Built a GPS communication system for contact with friends/family of the driver based on IoT platform.
Smart Home Surveillance Jun-Aug 2014
Designed a Raspberry Pi and Python 2.7 based home surveillance system based on the IoT platform.
Implemented automatic image based email system to user in case of unwanted movements inside the house.
Control Strategies for Barrett WAM Arm with ROS Nov 2016-Present
Installed and implemented ROS libraries for the Barret WAM arm
Simulated basic movements using Gazebo and Rviz