JYOTI GANGARAJU

**** ******* **, ********* **. **6

Lawrence, Kansas - 66046

acxrnm@r.postjobfree.com

https://www.linkedin.com/in/jyotigangaraju

785-***-****

EDUCATION

The University of Kansas, USA GPA - 3.4

Masters of Science (M.S.) in Electrical Engineering, 2014 - 2016

Rashtreeya Vidyalaya College of Engineering, India GPA - 8.5

Bachelors of Science (B.E.) in Telecommunication Engineering, 2008 - 2012

EXPERIENCE

Samsung Senior Software Engineer and Software Engineer

Jul 2012 - Jul 2014

Member of the mobile R&D team called Radio Interface Layer for cellular and telecommunication vendors such as

Tracfone, C spire, Cricket, Verizon and USCC.

Broad range of technology knowledge as well as a strong understanding of the telecom industry.

Participated in Tier II carriers product support and analysis of product defects.

Involved in SDLC phases such as implementing, testing, deployment and maintenance.

Understanding the client requirements for various telecom products and corresponding network aspects in order to

align the businesss needs.

Lead as an onsite engineer to provide clarification and act as a point of reference for business requirement enquiries

by solution design and project delivery teams.

Direct client interaction to field requests for changes and support issues before and after product release.

Proven ability to manage and prioritize multiple, diverse projects simultaneously.

Document, track and escalate issues as appropriate to abide by the SDLC methodology.

Worked closely with delivery team to ensure functional and non-functional completeness of the solution.

Participated in troubleshooting and triaging of field issues with different teams to drive towards root cause

identification and quick issue resolution.

Worked with appropriate business and technology leads to determine the acceptable range for test results and

performance

University of Kansas - Graduate Assistant

Aug 2014 - May 2016

In charge of communication systems laboratory, which gave me hands on experience with the laboratory equipment

such as TIMS Emona 301 modeling system, Agilent spectrum analyzer and Agilent oscilloscope.

Installed and worked with Pico Scope 6 data analyzer. The main aim was to view and analyze the signals in time

domain and frequency domain, simultaneously.

Successfully devised a laboratory manual explaining various analog and digital modulation, and noise analysis.

Documented the ports, results and signal analysis obtained in modulation and demodulation setups for future

reference.

In charge of digital logic design laboratory, which gave me hands on experience with the laboratory equipment such

as Xilinx and Nexys2 board.

Created FPGA design for the custom logic circuits with VHDL, Xilinx Spartan 3E on the Nexys2 board.

Involved in various` stages of FPGA design such as design, code, debug, test bench for simulation and technical

support.

Took new initiatives to include modules such as PCB design, soldering, chip mounting and board debugging.

-

SKILLS & EXPERTISE

Hardware tools : TIMS modeling system, Agilent spectrum analyzer, Agilent oscilloscope, Pico Scope 6

data analyzer, Nexys2, ModelSim, Digilent Adept, FPGA and PCB.

Programming languages : VHDL, C++, MATLAB

Defect Tracking Tools : IBM Rational Clear Quest

SCM : Clearcase, Github

Networking tools : Wireshark, iperf and Extend Simulation Tool

ACADEMIC PROJECTS

A Laboratory Manual for an Introduction to Communication Systems Course

Communication systems laboratory is a hands-on way to effectively visualize the real life applications of communication

systems in its simplest form. Hardware equipment such as spectrum analyzer, oscilloscope, and function generator were

replaced by Pico Scope 6, a software based data analyzer. The Pico Scope 6 is a user friendly software which enables its

users to capture and analyze analog and digital signals with a comparatively higher accuracy. I have developed a

laboratory user manual for analog modulations, digital modulations, and noise analysis of communication systems, based

on Pico Scope 6, for undergraduates of the Department of Electrical Engineering and Computer Science.

Bit Error Rate (BER) with eye diagram in Binary Phase Shift Keying (BPSK) systems

The BPSK modulation is similar to the ASK modulation, the only difference being that the BPSK modulation makes use

of the bi-polar message sequence. To obtain symmetric phase transitions in the modulated sequence, the frequency of the

carrier signal must be greater integral multiple of the data rate of the message sequence. The aim of this exercise was to

determine BER of the BPSK system. Eye diagram is convenient method to detect the ISI in real time. Critical parameters

of an eye diagram were measured and used to compute an approximate BER.

Performance measurement in terms of SNR, SQNR, SINAD and SFDR for communication systems

Various types of internal and external noises formulate various signal to noise ratios. This project involved the qualitative

analysis of communication system in presence of the channel noise to find and analyze different types of ratios in the

demodulated speech signal.

Single Side Band (SSB) modulation and demodulation

The SSB modulated signal is obtained by adding two DSBSC modulated signals. The two DSBSC modulated signals are

phased in such a way that addition or subtraction of these signals will generate either the lower sideband modulated signal

or the upper sideband modulated signal. Demodulator should be intelligent enough to select either of the sidebands to

recover the message signal. In this project I had designed a SSB modulator and demodulator for a given speech signal.

Noise analysis in Amplitude Modulation (AM) and Frequency Modulation (FM)

This project involved the qualitative analysis of AM system and FM system in presence of the channel noise. Objective

was to analyze the noise effects in the demodulated speech signal and find the maximum threshold beyond which the

system behavior deteriorates.

Maximum a Posteriori (MAP) probability rule for binary communication systems

This project involved implementing a decision rule for binary communication system with additive Gaussian noise in the

channel. This Decision rule would predict occurrence of an event by considering the stochastic variable acting in the

system.

Scan conversion algorithm for B-mode Ultrasound images

To improve the power efficiency of the portable health device, a highly efficient B-mode scan conversion algorithm was

used. This algorithm was used to improve the quality of an image and to reduce the power consumption of the machine.

The scan conversion algorithm translates the input data that are captured in different polar coordinates in to Cartesian

coordinates which will improve the quality of the display. As a result, high quality digital ultrasound machine with B-

mode would help to view the muscle, internal organs and lesions clearly.

Speech coding strategy using AM and FM

AM and FM provide independent yet complementary contributions to support robust speech recognition under realistic

listening situations. FM extraction and analysis can be used to serve as front-end processing to help solve, automatically,

the segregating and binding problem in complex listening environments, such as at a party or a noisy cockpit. Aim in this

project was to use both AM and FM for better speech recognition with high correlation between the original and speech

processed/synthesized signal.

Contact this candidate