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Netflix Technical Architect Resume
Rajat
Shah
hi@shahrajat.com
San
Francisco,
CA
°
|
https://shahrajat.com/
Work
Experience
•
Netflix,
Inc
San
Francisco,
CA
Staff
Software
Engineer
2021
-
Present
–
Leading
technical
architecture
for
Netflix’s
core
Model
Inference
Platform,
managing
500K
+
requests/sec
for
all
user-facing
ML
models
in
personalization,
growth,
and
commerce.
–
Built
foundational
components
by
collaborating
with
ML
practitioners
and
addressing
diverse
use
cases
across
live
and
precompute
flow.
Mentored
and
onboarded
10+
engineers
on
the
team.
•
Amazon
Seattle,
WA
Senior
Software
Development
Engineer
2017
-
2021
–
Contributed
to
Amazon
retail
strategy
in
large-scale
automation
and
ML
across
Imaging
Tech,
Search
Science,
and
Homepage
recommendations.
–
Led
a
team
of
6+
Software
Engineers
to
launch
a
new
personalized
product
recommendations
service,
increasing
annual
revenue
by
$
MM
+
increase
in
and
serving
millions
of
customers
at
Scale.
–
Started
a
side
project
and
grew
a
team
of
15
+
volunteers
to
successfully
launch
Amazon
Gather
-
an
internal
platform
for
community
and
event
management,
gaining
500K
+
users
in
2
years.
Received
the
’Just
Do
It’
award
from
Jeff
Bezos
during
company
all-hands
for
Bias
for
Action
and
Innovation.
Gather
has
become
integral
to
the
employee
experience
with
100K
+
active
monthly
users.
–
Collaborated
with
Scientists
to
train
and
deploy
a
novel
Deep
Learning
language
identification
model
for
search
queries,
scaling
to
10K+
real-time
inferences/sec.
•
Morgan
Stanley
Mumbai,
India
Software
Analyst
2014
-
2015
–
Developed
a
reporting
dashboard
and
underlying
Scala/Java
service
to
increase
operational
efficiency.
–
Built
a
multi-threaded
SOAP
service
for
database
access,
showcased
at
the
Global
Town
Hall
for
its
broad
impact.
•
Goldman
Sachs
Bangalore,
India
Software
Analyst
Intern
2013
–
Optimized
a
market
risk
analysis
tool
with
caching
and
parallel
computing,
significantly
reducing
execution
time.
Education
•
Master
of
Science,
Computer
Science
North
Carolina
State
University,
Raleigh,
NC
2015
-
2016
–
Data
Science
/
Machine
Learning
specialization.
View
talks
and
projects
–
Graduate
Research
Assistant
in
Center
for
Educational
Informatics,
advised
by
Dr.
Min
Chi.
•
Bachelor
of
Technology,
Computer
Science
Visvesvaraya
National
Institute
of
Technology,
India
2010
-
2014
–
Technical
Secretary-
Member
of
VNIT
Students’
Council
–
Vice-Chairperson-
ACM
Student
Chapter
of
VNIT.
Led
software
initiatives
and
mentored
students.
Programming
Skills
Proficient:
C
++
,
C,
Java,
JavaScript,
HTML,
SQL,
AWS
full-stack
development
Familiar:
Web
development,
Kotlin,
Shell
Scripting,
Python,
Spark,
ReactJS
Publications
•
“Deep
Learning
+
Student
Modeling
+
Clustering:
a
Recipe
for
Effective
Automatic
Short
Answer
Grading”,
The
9th
International
Conference
on
Educational
Data
Mining
(EDM2016).
•
“Towards
Automatic
Linkage
of
Analyst’s
Claims
with
Associated
Evidence
from
Screenshots”,
IEEE
BigDataService
2017.
