Engineer Design
Resume:
NIMISH
KULKARNI
www.linkedin.com/in/nimishkulkarni/
th
8
ST
APT
208,
Tempe,
AZ
85281
480-
516-
7733
******.********@***.***
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,
Maps,
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