Ritvij Ravindra Sahasrabuddhe
*** *. ******** **, *********, Texas, 76013 act6pi@r.postjobfree.com 219-***-**** https://www.linkedin.com/in/ritvij
Objective
Disciplined, innovative and highly motivated Graduate student looking for a full time position in industry utilizing my quantitative and analytical skills in Electrical Engineering.
Education
MS in Electrical Engineering at University of Texas at Arlington, Arlington, Texas GPA – 3.375/4 December 2015
BE in Electronics Engineering at University of Mumbai, Mumbai, India GPA – 3.8/4 July 2013
Technical Skills
Hardware Skills: ARM Cortex M4 Processor, PIC 18 Controller, SoC, 8051, x86 Architectures, Arduino, FPGA, PCB & Circuit Design, ADC, DAC, Op-amp, RTL, RS232/485, I2C, SPI, NI cRIO, ASIC, Oscilloscopes, Signal generator
Software Skills: Embedded C, LabVIEW, C, Python, MATLAB, Simulink, C++ (Basic), VHDL, PSpice, Verilog, Visual Basic, Xilinx, Altera, OrCAD, NI Multisim, AutoCAD, Eagle, Code Comp. Studio, ModelSim, Eclipse, Microsoft Office
Academic Courses
Embedded Systems and RTOS Robotics Data Communication VLSI Design
Microprocessor Systems Control Systems Digital Signal Processing Wireless Communication
Professional Experience
Research Assistant at Next Generation Systems Group (NGS) at UT Arlington, Texas – Worked on development, testing and characterization of mems pressure sensors robot skins. Nov 2014 – Dec 2015
Research intern at TATA Power Strategic Engineering Division, India – Designed Airfield lamp monitoring and control system using AT89C2051 controller, AMIS 49587 power line modem May 2012 – April 2013
Master’s Thesis
Development, Testing and Characterization of Electronic Skins for Robot (Supported by National Sci. Foundation (NSF))
Software – LabVIEW, Matlab. Hardware – NI cRIO, FPGA Modules for cRIO, Load cell and Linear Actuator. As a part of development, performed Electrohydrodynamic (EHD) printing on MEMS pressure sensors using PEDOT: PSS piezoresistive as a base material. Newly developed piezoresistive pressure sensors, integrated in soft robot skin materials, were tested and characterized. Automated the testing and data acquisition process. Different testing parameters used such as MEMS sensors, robot skin materials and geometry along with application of sinusoidal movement and constant force methods. Manufactured an interface hardware using Wheatstone bridge and Opamp. Implemented, explicit Force control and impedance control schemes.
Publications
Piezoresistive Pressure Sensor for Robotic Skin, Fahad Mirza, Ritvij Ravindra Sahasrabuddhe, Ruoshi Zhang, Woo Ho Lee, Dan O. Popa, SPIE, Sensors for Next-Generation Robotics III, 2016.
Saraf, N.; Salvi, R.; Salunkhe, N.; Sahasrabuddhe, R., "Airfield Lamp Monitoring & Control Systems," in Information Communication and Embedded Systems (ICICES), 2013 International Conference.
Academic Projects
RS-485 based
Software – Embedded C Hardware - ARM Cortex M4. Implemented Master-Slave protocol to help
Bi-directional
master controller to communicate with other slave devices. Data transmission using RS-485. Developed
Communication
C routines for acknowledgement from slave devices, to retransmit data Packets and use polling method
SDRAM
Design includes – 80386DX processor, SDRAM memory, State Machine, Signal generation. Developed
Design
Algorithm for asynchronous memory support. Support for Ready, Auto Refresh, Read, Write and M/IO
Hardware
Software – C, Proteus. Hardware – Atmega 2560 AVR. Developed a Hardware to interface Sensor
Interface for
Arrays to Microcontroller. Assisted a PhD student in my research lab to design a schematic and PCB
Sensor Arrays
layout. SPI communication was used to interface sensor arrays to microcontroller.
Airfield Lamp
Software – C, OrCAD. Hardware – Microcontroller (8051), AMIS 49587 Modem. Responsible for
monitoring and
system design which monitors and controls the Lamps present on the Airfield using Master-slave
Control System
communication. Implemented Power Line Communication protocol that uses existing Power Lines.
Design of
Software – MATLAB. Designed Turbo Code Encoders and Decoders for UMTS and LTE.Implemented
Turbo Codes
4 versions of Map Algorithms. Observed and plotted - Bandwidth efficiency, BER performance,
Communication
latency, complexity of turbo code. Demonstrated Interleaver design, Encoding, Map Decoding Algorithm
Extra-Curricular Activities
Knowledge of Chinese language (Mandarin). Passionate about traveling, technology, sports and food.
Reference: Dr. Dan Popa, Assoc Prof, UT Arlington, NGS Group. act6pi@r.postjobfree.com Mobile – 817-***-****