1. B5,
4th
Floor,
Muktha
Nirman
Apts.,
81,
Mount
Ponnamallee
High
Road,
JYOTI
TRIYAR
(91)
87544-­‐59919
jyotitriyar@gmail.com
Chennai
-­‐
600116.
EMPLOYMENT
Member
Of
Technical
Staff
II Groupon Aug
2013
to
Present
● CRM
Service
○ Improved
2-­‐3%
in
Billings
by
implementing
a
feature
to
notify
customer
of
a
failed
payment
for
the
order.
○ Improved
user
engagement
by
optimizing
number
of
deals
in
abandoned
shopping
cart
notification
email.
Product
Summary:
A
backend
service
responsible
for
improving
user
engagement
by
supporting
features
like
newsletter
subscriptions,
order
and
payment
notifications,
voucher
reminder
etc.,
via
multiple
channels
like
email,
mobile
push
notification.
● Global
Payment
Services
○ Handled
successfully
large
scale
system
and
data
migration
to
an
improved
system
in
another
datacenter.
Proactively
identified
migration
issues
and
feature
discrepancies
and
worked
across
teams
in
multiple
countries
to
resolve
them.
○ Integrated
a
new
payment
type
“Veritrans”
as
part
of
Indonesia
migration
using
REST
based
backend
APIs
using
Spring
framework
with
all
the
major
functionalities
like
authorization(with/without
3D
secure),
capture
of
funds,
refund/cancel,
installments
and
enabling
promo
code
for
particular
bins,
with
complete
end-­‐to-­‐end
full
spec
coverage
○ Implemented
algorithm
for
A/B
selection
with
configuration
for
enabling
credit
card
payment
type
for
random
selection
of
users
in
Malaysia
on
Web.
This
led
to
significant
improvement
in
conversion
rate
in
Malaysia
by
around
18-­‐20%.
○ Involved
in
research
and
fixed
the
critical
refund
issue
with
IPay88
in
Malaysia
○ Supported
the
system
on
critical
times
by
troubleshooting
payment
related
production
issues
○ Awarded
“Ownership
and
Accountability
(Emerging
Leader)”
for
contribution
on
improving
conversion.
Product
Summary:
Global
Payment
System
acts
as
a
gateway
to
several
payment
service
providers
that
provides
online
customers
to
pay
securely
through
several
payment
types
available
on
checkout
page.
The
system
takes
care
of
fraud
using
fraud
detection
system
and
providing
3D
secure
for
the
recommended
payment
types
and
is
completely
PCI
compliant.
The
system
processes
the
payment
data
and
provides
the
interactions
(like
authorization,
capture,
refund,
cancel,
chargebacks,
etc.)
with
the
integrated
external
payment
service
providers
by
submitting
the
payment
data
to
the
payment
service
provider
for
processing.
● Goods
Central
○ Developed
brand
standardization
workflow
to
optimize
product
selection
based
on
brands
on
site
and
web
search
engines
○ Developed
REST
based
backend
APIs
using
Tastypie
framework
from
scratch
for
a
redesigned
system.
Improved
merchant
experience
with
new
flow
by
2.5x
(measured
by
number
of
deals
published)
○ Championed
filling
unit
testing
gaps
in
existing
codebase
for
many
features
for
fully
automated
deployment
integration
○ Supported
product
on
critical
times
by
troubleshooting
production
issues.
○ Developed
REST
APIs
for
a
service
ItemMaster
to
publish
deal
and
product
data
for
dependent
system
like
fulfillment,
returns
etc,
Product
Summary:
Goods
Central
is
a
workflow-­‐based
system
that
manages
the
marketplace
of
goods

2. deals
for
the
Groupon.com.
It
is
portal
where
third
party
merchants
can
publish
their
products
for
sale
at
Groupon
which
then
get
reviewed
by
internal
account
managers
before
publishing
live
to
Groupon.com.
Apart
from
publishing
deals,
Goods
Central
is
the
source
of
truth
for
deal
information
as
well
as
for
products.
Goods
Central
exposes
REST
API
for
other
systems
to
leverage
deal
and
product
information.
SKILLS
● Languages:
C,
C++,Python,
HTML,
JavaScript,
Java
● Technologies:
AngularJS,
Backbone,
Django,
Tastypie,
Spring
● Databases:
Oracle,
MySQL,
PostgreSQL
● Operating
Systems:
MacOS,
Linux
● Packages/Tools:
LATEX,
MATLAB,
Git,
Maven
EDUCATION
Kanpur,
UP Indian
Institute
of
Technology
(IIT) June
2011
–
May
2013
● Secured
degree
of
MTech
(Computer
Science)
with
CPI
of
7.33/10
Durg,
Chhattisgarh Bhilai
Institute
of
Technology June
2007
–
May
2011
● Secured
degree
of
BE
(Computer
Science)
with
CPI
of
9.45/10
AWARDS
AND
RECOGNITION
● Secured
All
India
Rank
223
in
GATE
2011
Computer
Science
Exam
(99.83
percentile),
● University
Topper
and
Gold-­‐Medalist
for
achieving
highest
marks
in
BE
(4th
Semester)
CSVTU
University
in
2009.
● Secured
97th
State
Rank
in
AIEEE
(2006-­‐2007).
● Secured
39th
AIR
in
National
Level
Science
Talent
Search
Examination
(NSTSE)
organised
by
Unified
Council
in
2007.
● Statewise
top
1%
merit
in
National
Standard
Examination
in
Chemistry
(NSEC)
in
2006.
● Secured
38th
AIR
in
8th
National
Science
Olympiad
(NSO)
in
2006.
ACADEMIC
PROJECTS
● SMS
Activated
Alarm
o Designed
an
Android
application
that
allows
to
set
an
alarm
in
receivers
android
phone
automatically
when
he
receives
an
SMS
in
a
specified
format
to
remind
him
of
something.
Setting
the
alarm
is
customizable
by
giving
alarm
names,
blocking
or
unblocking
people
to
trigger
the
app,
allowing
the
sender
to
unset
a
previously
set
alarm,
etc.
● Points-­‐to
Analysis
as
a
System
of
Linear
Equations
o Added
a
dynamic
plugin
in
GCC
performing
points-­‐to
analysis
on
a
system
of
linear
equations
as
suggested
by
paper
Points-­‐to
Analysis
as
a
System
of
Linear
Equations-­‐Rupesh
Nasre,
R.Govindrajan
● Binary
Search
Tutorial
o Implemented
a
Binary
Search
Tree
Tutorial
in
Haskell
that
performs
main
operations
of
BST
like
searching,
insertion
and
deletion
of
nodes
showing
all
the
steps
like
a
tutorial.
● Online
Banking
with
Biometric
Authentication
using
Iris
Recognition
o Implemented
an
online
banking
system
that
performs
authentication
based
on
password
and
iris
of
a
person
while
logging
to
the
system.
The
person
is
allowed
for
transaction
only
if
his
iris
template
matches
with
the
template
already
stored
in
the
database
at
the
time
of
registration.
o Tools
used:
Microsoft
SQL
Server
2005
as
back-­‐end,
Microsoft
Visual
Studio
2008
as
front-­‐end
MTECH
THESIS
(ADVISOR:
PROF.PHALGUNI
GUPTA)
An
Iris
Recognition
System
Using
Score-­‐level
Fusion
of
1-­‐D
DCT
Transform
and
Relational
Measures
-­‐
The
thesis
describes
an
iris
recognition
system
which
includes
phases
like
segmentation,
normalization,

3. segregating
unwanted
parts
like
occlusion
due
to
eyelids,
eyelashes
and
specular
reflection,
noise
removal,
enhancement,
feature
extraction
and
matching.
A
new
feature
extraction
technique
based
on
Discrete
Cosine
Transform
(DCT)
for
iris
recognition
has
been
proposed.
Also,
a
new
fusion
strategy
of
fusing
the
dissimilarity
scores
of
the
two
feature
extraction
techniques
(DCT
and
Existing
Relational
Measures)
has
been
proposed
to
get
better
performance.
PAPERS
● (2015)
Aditya
Nigam,
Balendar
Kumar,
Jyoti
Triyar,
Phalguni
Gupta
“Iris
Recognition
Using
Discrete
Cosine
Transform
and
Relational
Measures”.
Computer
Analysis
of
Images
and
Patterns
(CAIP),
Volume
9257
of
the
series
Lecture
Notes
in
Computer
Science
pp
506-­‐517