NIMISH

KULKARNI

www.linkedin.com/in/nimishkulkarni/

th

**** *

8

ST

APT

208,

Tempe,

AZ

85281

480-

516-

7733

acorbd@r.postjobfree.com

Graduate

student

in

computer

science

with

2+

years

of

professional

experience

in

application

development

stack

comprising

mobile

applications,

cloud

infrastructure

solution,

and

business

intelligent

enterprise

applications.

Expertise

in

web

technologies

and

object

oriented

design

and

coding

practices.

Looking

to

solve

challenging

problems

in

Cloud/Big

data

computing

and

Artificial

Intelligence/Machine

Learning.

EMPLOYMENT

CISCO

SYSTEMS,

USA

Software

Engineer

Intern

May-

June

2014

Cloud

-

Orchestration

Flow

and

Scalability

• Designed

a

POC

to

demonstrate

end-

to-

end

orchestration

flow

and

implemented/deployed

network

design

that

supports

scalable

and

dynamic

fabric

management

and

auto

provisioning

• Technologies-

orchestration,

OpenStack,

Infrastructure

Management,

Cisco

UCS

Director,

Cisco

DCNM,

VMWare

vCenter

Server,

Open

Automation

API,

DCNM

REST

API,

openLDAP,

Java,

JBoss

INFOSYS

LIMITED,

India

Systems

Engineer

Feb

2012-

July

2013

BI

Dashboard,

POC

(Research

and

Development)

• Designed

an

application

to

mobilize

business

aspect

of

current

portal

including

inter-

related

reports

and

charts

by

effectively

implementing

customized

metrics

to

measure

key

indicators

of

dashboard

• Developed

high

level

design,

technical

design,

coding,

UI

design

and

enhancements,

data

analysis

and

analytical

component

that

can

help

senior

level

management

to

make

better

business

decisions;

targeted

for

-

IOS

• Involved

in

the

reusable

component

development

and

responsibilities

included

checking

viability,

technical

issues,

developing

rough

prototypes

of

mobile

applications;

led

3

teams

while

working

on

POC’s

RESEARCH

EXPERIENCE

ARIZONA

STATE

UNIVERSITY

Graduate

Research

Assistant

April

2014-

ongoing

Trauma

Brain

Injury

Detection

Application

(Center

For

Cognitive

Ubiquitous

Computing)

• Developing

visualization

and

firmware

components

in

the

application

to

detect

brain

injury

• Technologies/Tools

–

Microcontroller

Programming,

Freescale

CodeWarrior,

Android,

OpenGL,

Javascript

Keeping

Intruders

at

Bay:

probabilistic

approach

to

distract

attackers

(Cyber-

Socio

Intelligence

Lab)

• Objective

is

to

reduce

penetration

probability

of

attacker

by

adding

distraction

clusters

at

various

entry

network

points

• Implemented

lazier

than

lazy

random

greedy

algorithm

and

compared

with

regular

greedy

approach

• Technologies/Tools

–

Python,

NetworkX

EDUCATION

GPA

–

3.52

Masters

in

Computer

Science

Arizona

State

University,

Tempe,

United

States

May

2015

Bachelors

in

Computer

Science

Engineering

Jawaharlal

Nehru

Engineering

College,

India

May

2011

LANGUAGES/FRAMEWORKS/TECHNOLOGIES

• C,

C++,

Java,

JSP,

UML,

HTML5,

CSS3,

Javascript,

JQuery,

JQueryMobile,

J2EE,

Phonegap,

Metasploit,

JAX-

RS,

JSON,

XML,

JBoss,

Servlets,

JDBC,

SQLite3,

Oracle

10g,

MS-

Excel,

MySQL,

MS-

Office,

Apache

Tomcat,

GIT,

web

services,

AJAX,

Maven

• API

-

HighCharts,

HighStocks,

Google

Maps,

Google

Charts,

Backbone.js,

Underscore.js,

Cisco

Open

Automation

• Data

Science/Mining

Skills

–

MATLAB,

Hadoop,

Spark,

MongoDB,

Clustering,

Classification,

Information

retrieval,

Mining,

SVM

classifier,

Lucene,

Data

Center

Fundamentals,

Cloud

Computing,

Python,

Postgresql,

Statistical

Methods,

Pattern

Recognition

TECHNICAL

EXPERIENCE

Virtual

Machine

Introspection

based

virtual

machine

Intrusion

Detection

System

SPRING

2014

• Objective

was

to

analyze

memory

contents

using

virtual

machine,

detect

intrusion

and

provide

countermeasure

using

SDN

• Technologies

–

Citrix

Xen

Hypervisor,

Openflow,

Volatility,

SDN,

Virtualization,

Nessus,

Metasploit,

LibVMI

Information

Retrieval,

Mining

-

Search

Engine

SPRING

2014

• Objective

was

to

design

and

develop

information

retrieval

system

that

implements

retrieval

algorithms

such

as

PageRank,

Authority-

Hubs,

TF-

IDF,

and

K-

means

clustering,

snippet

generation,

scalar

cluster

analysis;

api

–

Lucene,

Jsoup

Content

Based

Image

Retrieval

System

DEC

2010

• Research

Based

Application

implemented

using

GLCM;

objective

was

to

retrieve

similar

images

to

that

of

the

input

image

• Statistical

Method

of

approach

followed;

tools

–

MATLAB

Contact this candidate