Mr.Shivanand Shettennavar

(M.Tech in VLSI Design & Embedded Systems) Mobile: +91-988*******/821-***-****

Email: ac5btv@r.postjobfree.com

Objective

Seeking a position with an organization where I can contribute my skills for organizations success and synchronize with new technology while being resourceful, innovative and flexible.

Skill Set

EDA Tools : Xilinx,

Hardware Description Languages : Verilog, VHDL.

Software Skills : C, Python

Platforms : Windows/Linux

Hardware Expertise : Arduino, Raspberry Pi programming

Altera FPGA Board, Spartan-6 FPGA Trainer Board

progrmming

.

Technical Expertise

IOT application design using ARDUINO IDE,RASPBERRY PI

Hands on Experience on IOT protocols MQTT,SMTP,HTTP

Hands on experience with 8 bit 8051 and 32 bit ARM controller LPC 2148,

Hands on experience in standard communication protocols like UART, I2C and SPI

Academic Profile

Degree

College/

Institute

Board / University

Year of passing

Percentage

M.Tech [VLSI & Embedded Systems]

VTU Belgaum

V.T.U Belgaum

Karnataka

2014

72.54%

B.E [ECE]

KLS VDRIT Haliyal

VTU Belgaum

Karnataka

2009

62.93%

PUC(12TH)

KLE,s G.I.B Science college Nippani,Karnataka

P.U.Board Bangalore

2004

63.50%

SSLC(10TH)

B.S.Composite Junior College Bedkihal,Karnataka

KSEEB Bangalore

2002

79.84%

Achievements

Secured 494th rank among 19874 aspirants in PGCET’ 2012 conducted by Karnataka Examination Authority for M.Tech admissions.

Won the Runner up prize in college cricket tournament.

Work experience

Worked as lecturer in ARVIND GAVALI COLLEGE OF ENGINEERING SATARA from 2010 to 2011.

Worked as lecturer in KLE COLLEGE OF ENGINEERING AND TECHNOLOGY CHIKODI from 2011 to 2012.

Worked as assistant Professor in DKTE’s TEI ICHALKARANJI MAHARASHTRA from 2014

to 2017.

Working part time as Embedded Engineer in RS Electronics Ichalakaraji Maharashtra from August 2016 to tilldate.

Subject handelled

Control System, VLSI Design, Digital communication, C programming

Projects

Project-1 Title

Arduino Based Radar System for Surveillance

Environment

Arduino Uno ATmega328P,Processing IDE and XCTU

Description

This project provides solutions to indigenous RADAR’s shortcomings like Range discrimination, high operating cost, and design complexity. This radar converges the wireless technology with radar to have completely distant data monitoring for the surveillance purposes. Especially in military this will be very helpful. Using ultrasound for the detection purpose instead of radio waves reduces the cost of overall system implementation and reduces complexity of system.

Project-2 Title

Implementation of UART with BIST technique using FPGA

Environment

Using Xilinx XST and ISim version 13.1 and realized on Spartan-3 FPGA.

Description

Asynchronous serial communication is usually implemented by Universal Asynchronous Receiver Transmitter (UART), mostly used for short distance, low speed, low cost data exchange between processor and peripherals. There is a need for realizing the UART function in a single or a very few chips. Further, design systems without full testability are open to the increased possibility of product failures and missed market opportunities.

This project introduces Status Registers and BIST (Built-In-Self-Test) to overcome the Testability and Data Integrity. The 8-bit UART with Status Register and BIST module is coded in Verilog HDL and synthesized and simulated using Xilinx XST and ISim version 13.1 and realized on Spartan-3 FPGA. The results indicate that this model eliminates the need for higher end, expensive Testers and thereby it can reduce the development time and cost.

Project-3 Title

Data Mining of Brain image

Environment

(MATLAB and WEKA)

Description

This project explores the application of Machine Learning (ML) methods for classifying dementia status to improve accuracy over current dementia screening tools in medical diagnostic of dementia disease in human brain. ML method gives 98% overall classification accuracy, which is 19% increase in the classification accuracy over FAQ (Frequently Asked Questions). MATLAB software is used to find mean, variance, co-variance, and standard deviation of brain image and based on these values WEKA (Wekato Environment Knowledge Abstraction) software classifies dementia status which helps doctors to give proper treatment considering dementia status.

Personal Strengths

Hard working and good at team work.

Rapid at learning things.

Extra Curricular Activity:

Participated in college cricket tournament.

Active member of “Kannada Sangha” established by our batch in 2007 to provide platform for Kannada programmes.

Personal details:

Name : Shivanand Narasappa Shettennavar

Date of birth : 25th July 1986

Sex : Male

Caste : Lingayat Pancham

Nationality : Indian

Languages’ known : English, Hindi, Kannada, Marathi

Hobbies : Playing cricket, Listening music, reading books

Address S/o: Narasappa Shettennavar

A/p: Shamanewadi TQ: Chikodi

DT: Belagavi PIN: 591214 State: Karnataka

I hereby declare that above mentioned information is correct up to my knowledge and I bear responsibility for the correctness of the above mentioned particulars.

Date: signature

Place: (Shivanand Shettennavar)

Contact this candidate