Engineer Training

Curriculum Vitae

Name: KARTHIK B Phone: +91-973*******

Address: #** *** ****** *****: acu1e8@r.postjobfree.com

Anandanagar, Bangalore-560024

CARRER OBJECTIVE

I am Post Graduate Electronics Engineer with specialization in Signal Processing & VLSI, Looking for a growth in a reputed organization where i can enhance and develop my skills.

EDUCATION

Course

College/Board

Year of passing

Percentage

M.Tech

Jain College

2015

78

(Signal Processing

( Jain University)

&VLSI)

B.E. (Electronics and

Sri Revana Siddeshwara Institute

2009-2012

58

Communication)

(Board of technical Education)

Diploma in Electronics

Sri Jayachamarajendra Educational

Soceity (SJES), Bangalore

2007-2009

71.85

and Communication

(Board of technical Education)

10th

Navodaya Vidyaniketan

2003-2004

74

SUMMARY

A M.Tech Graduate in Signal Processing & VLSI From Jain University.

Pursued VLSI Training From M S Ramaiah University Of Applied Science

Good Knowledge on Digital Systems, FPGA, ASIC

Basics Of C, HTML, Java Script

-2-

TECHNICAL SKILLS

Programming Languages : JavaScript, HTML, Verilog HDL/RTL Coding,

Basics Of C

Tools : Xilinx ISE 14.4, Model Sim, Cadence NCSIM,

CERTIFICATIONS/INTERNSHIP

Internship Program in VLSI system Design from M S Ramaiah University of Applied Science (MSRUAS)--The Program Consists Of Three Modules:

Digital Design using RTL Coding(Verilog Coding) and FPGA Prototype using XILINX Platform and Cadence NCSIM

ASIC Design using Cadence RTL Compiler

Undergone ITIL/ITSM Training from NUCOT

ACADEMIC PROJECT (M.Tech Final Year)

Title : IDENTIFICATION,CLASSIFICATION, AND MONITORING OF TRAFFIC SIGN USING HOG AND NEURAL NETWORKS

Description : Histogram of gradient (HOG) is a feature from which the ideal image can be read and also can be compared with other image, but it takes long time as well as the more training samples to train, and also the accuracy achieved so far is 91%. Using the Neural Networks in the project enhances all the features and the drawback faced by using only HOG can be solved, more importantly the accuracy of matching an image achieved is more than 95% using MATLAB Tool.

PUBLICATION

Title: “IDENTIFICATION CLASSIFICATION AND MONITORING OF TRAFFIC SIGN USING HISTOGRAM OF ORIENTED GRADIENTS AND ARTIFICIAL NEURAL NETWORKS”

Journal: INTERNATIONAL JOURNAL OF SCIENCE AND RESEARCH (IJSR)

Year: August 2015, Vol 4, Issue 8

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INTERESTS

Playing Badminton

Listening to Music.

Solving 3*3 Rubik’s Cube

Reading books

PERSONAL DETAILS

Name: KARTHIK B

Father’s name: BYLAPPA A

Gender: Male

Marital Status: Single

Mother Tongue: Kannada

Languages Known: English, Kannada and Hindi

Nationality: Indian

DECLARATION

I hereby declare that all the above-mentioned information is true to the best of my knowledge.

Place: Bangalore (KARTHIK B)

Contact this candidate