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Electrical engineering Intern

Arlington, Texas, United States
January 30, 2018

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*** ***** *** **, *** 125, Arlington TX 76013 682-***-**** LinkedIn: EDUCATION

Master of Science, Electrical Engineering Expected Graduation: May 2019 The University of Texas at Arlington, Arlington TX. Courses: Embedded Microcontroller Systems, Microprocessors, Linear control systems, Computer Networks, Bachelor of Engineering, Electronics and Instrumentation. Aug 2012-May 2016 JSS Academy of Technical Education, Bangalore, India. TECHNICAL SKILLS

Languages : C, C++, Embedded C, Basics of Python, VHDL, Verilog

Microsoft Office : Word, Excel, PowerPoint

Software tools : Code Composer studio, MPLAB IDE, Siemens PLC, Xilinx

Microcontrollers/ Microprocessors : PIC18F44K22, TM4C123GH6PM ACADEMIC PROJECTS

Peer-to-Peer communication system, supporting a CSMA protocol Aug 2017–Dec 2017

Building a node capable of interfacing with a PC so that text commands can be entered by the user.

Based on the commands, subsequent transmission on the 2-wire RS-485 bus to other nodes will occur.

Extract information out of the asynchronous data stream and to control three or more devices

It will send acknowledgements back to the controller over the RS-485 physical layer to indicate successful receipt of the data

Transceiver will also send unsolicited messages back to the controller in response to changes in input device status.

Design and Development of Smart Robot for Border Security System Jan 2016-April 2016

The system decreases human effort and provides continuous surveillance of the borders.

Robot system is equipped with sensors those can alert the user when some anomaly appears within the range while robot is working.4

System uses machine intelligence to provide immediate response from sensors.

Whenever there is any deviation from the original state of sensors occur at robot side (i.e. VEHICLE SIDE) it transmits the signals to remote side (i.e. USER SIDE) where detected quantity showed on LCD display. Advanced Public Transportation System Jan 2015-March 2015

System uses Arduino Uno along with RFID technology to detect the approximate location of a bus with respect to its bus stops thus eliminating the need to use a GPS technology and internet.

System provides an approximate idea of the crowd in the bus whether it is full or medium or relatively empty through a load cell.

Go pro cameras are installed which can help monitor the driving aspect as well as provide live streaming to the control room thus giving simultaneous information happening inside the bus.

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