SlideShare a Scribd company logo
1 of 2
Download to read offline
Anish GuptaSDE-2, Flipkart • Bangalore, India
CELL (+91) 9620038307 • E-MAIL guptaanish11@gmail.com
!
EXPERIENCE SDE-2 at Flipkart, Bangalore, Jan 2015 - Present
• Development of large-scale Pricing System. Built it to support 200K
QPS with 99.9P under 100ms.
• Built Audit store for Pricing. This is a horizontally scalable system
which currently stores 450Gb of query-able data with 99.9P write
latency under 100ms and read latency under 50ms.
SDE-1 at Flipkart, Bangalore, Nov 2013 – Dec 2014
• Created product segmentation service that helped in categorising
products for dynamic and competitive pricing.
• Wrote data fetcher and extractors for multiple websites.
• Made Console, which helped business to have a deep understanding
of existing pricing logic and easier to add new logics into the pricing
engine. This project reduced the time for setting or/and validating
the product prices from 4-5 hours to 2-5 minutes.
Co-Founder, NewInTown.in
• Developed dynamic website (both front-end and back-end) so that
whenever a new entry is added to system, a new webpage will get
created automatically and it’ll get reflect on website.
• Built it to support 1k QPS with 99.9P under 100ms.
• Made console for Admin to add/modify new entries, analytic use
cases etc.
• Did requirement gathering, planning, decision-making, operations,
finance, etc.
Internship, Cisco, Bangalore, Jan 2013 - June 2013
• CLI crawler: This tool is targeted to provide full coverage of CLI’s
available in a software release and to catch certain abnormalities
like device crash or trace backs.
!
SKILLS Languages: Java, C, JavaScript, HTML, CSS, Shell Scripting
Databases: MySQL, Aerospike, Cassandra
Frameworks: Guice, Drop wizard, Hibernate, Aesop
Others: Distributed systems understanding, operating system, network
behavior etc.
!
EDUCATION B.Tech in IT, IIIT Allahabad, 2009-2013
Worked on multiple projects like:
• Generating Network Attack Graph for Intrusion Detection
• Music Recommender System using collaborative filtering and then
using semantic web mining.
• Sorting big files like (10 GB) using limited (100 MB) RAM.
!
INTERESTS Travelling, Listening Music, Playing CRICKET, Video games, solving
puzzles etc.

More Related Content

What's hot

JoTechies - Azure Functions Using c#
JoTechies - Azure Functions Using c#JoTechies - Azure Functions Using c#
JoTechies - Azure Functions Using c#JoTechies
 
GeekOut - Configuration Management with Kubernetes, a Spring-Boot use-case
GeekOut - Configuration Management with Kubernetes, a Spring-Boot use-caseGeekOut - Configuration Management with Kubernetes, a Spring-Boot use-case
GeekOut - Configuration Management with Kubernetes, a Spring-Boot use-caseNicolas Fränkel
 
Managing Your Cloud Spend With PlanForCloud - RightScale Compute 2013
Managing Your Cloud Spend With PlanForCloud - RightScale Compute 2013Managing Your Cloud Spend With PlanForCloud - RightScale Compute 2013
Managing Your Cloud Spend With PlanForCloud - RightScale Compute 2013RightScale
 
Training And Serving ML Model Using Kubeflow by Jayesh Sharma
Training And Serving ML Model Using Kubeflow by Jayesh SharmaTraining And Serving ML Model Using Kubeflow by Jayesh Sharma
Training And Serving ML Model Using Kubeflow by Jayesh SharmaCodeOps Technologies LLP
 
The Problem is Data: Gwen Shapira, Confluent, Serverless NYC 2018
The Problem is Data: Gwen Shapira, Confluent, Serverless NYC 2018The Problem is Data: Gwen Shapira, Confluent, Serverless NYC 2018
The Problem is Data: Gwen Shapira, Confluent, Serverless NYC 2018iguazio
 
The Serverless Native Mindset: Ben Kehoe, iRobot, Serverless NYC 2018
The Serverless Native Mindset: Ben Kehoe, iRobot, Serverless NYC 2018The Serverless Native Mindset: Ben Kehoe, iRobot, Serverless NYC 2018
The Serverless Native Mindset: Ben Kehoe, iRobot, Serverless NYC 2018iguazio
 
Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018
Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018
Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018iguazio
 
What is new in pass summit 2014
What is new in pass summit 2014What is new in pass summit 2014
What is new in pass summit 2014Harry Zheng
 
Serverless Solutions for developers
Serverless Solutions for developersServerless Solutions for developers
Serverless Solutions for developersJuan Pablo
 
Intro to the Google Cloud for Developers
Intro to the Google Cloud for DevelopersIntro to the Google Cloud for Developers
Intro to the Google Cloud for DevelopersLynn Langit
 
Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DBBuilding near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DBTimothy McAliley
 
23.03.2015 Minsk .NET Meetup #15: Interop Between Scala and .NET
23.03.2015 Minsk .NET Meetup #15: Interop Between Scala and .NET23.03.2015 Minsk .NET Meetup #15: Interop Between Scala and .NET
23.03.2015 Minsk .NET Meetup #15: Interop Between Scala and .NETIs Antipov
 
Elastic Search Meetup Special - Yann Cluchey, Cogenta
Elastic Search Meetup Special - Yann Cluchey, Cogenta Elastic Search Meetup Special - Yann Cluchey, Cogenta
Elastic Search Meetup Special - Yann Cluchey, Cogenta Internet World
 
Building the Serverless Container Experience: Kevin McGrath, Spotinst, Server...
Building the Serverless Container Experience: Kevin McGrath, Spotinst, Server...Building the Serverless Container Experience: Kevin McGrath, Spotinst, Server...
Building the Serverless Container Experience: Kevin McGrath, Spotinst, Server...iguazio
 
Spark volume requirements 2018
Spark volume requirements 2018Spark volume requirements 2018
Spark volume requirements 2018Rachit Arora
 

What's hot (20)

JoTechies - Azure Functions Using c#
JoTechies - Azure Functions Using c#JoTechies - Azure Functions Using c#
JoTechies - Azure Functions Using c#
 
Google cloud
Google cloudGoogle cloud
Google cloud
 
GeekOut - Configuration Management with Kubernetes, a Spring-Boot use-case
GeekOut - Configuration Management with Kubernetes, a Spring-Boot use-caseGeekOut - Configuration Management with Kubernetes, a Spring-Boot use-case
GeekOut - Configuration Management with Kubernetes, a Spring-Boot use-case
 
Managing Your Cloud Spend With PlanForCloud - RightScale Compute 2013
Managing Your Cloud Spend With PlanForCloud - RightScale Compute 2013Managing Your Cloud Spend With PlanForCloud - RightScale Compute 2013
Managing Your Cloud Spend With PlanForCloud - RightScale Compute 2013
 
Training And Serving ML Model Using Kubeflow by Jayesh Sharma
Training And Serving ML Model Using Kubeflow by Jayesh SharmaTraining And Serving ML Model Using Kubeflow by Jayesh Sharma
Training And Serving ML Model Using Kubeflow by Jayesh Sharma
 
The Problem is Data: Gwen Shapira, Confluent, Serverless NYC 2018
The Problem is Data: Gwen Shapira, Confluent, Serverless NYC 2018The Problem is Data: Gwen Shapira, Confluent, Serverless NYC 2018
The Problem is Data: Gwen Shapira, Confluent, Serverless NYC 2018
 
Our works
Our worksOur works
Our works
 
The Serverless Native Mindset: Ben Kehoe, iRobot, Serverless NYC 2018
The Serverless Native Mindset: Ben Kehoe, iRobot, Serverless NYC 2018The Serverless Native Mindset: Ben Kehoe, iRobot, Serverless NYC 2018
The Serverless Native Mindset: Ben Kehoe, iRobot, Serverless NYC 2018
 
Save Azure Cost
Save Azure CostSave Azure Cost
Save Azure Cost
 
Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018
Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018
Serverless and AI: Orit Nissan-Messing, Iguazio, Serverless NYC 2018
 
What is new in pass summit 2014
What is new in pass summit 2014What is new in pass summit 2014
What is new in pass summit 2014
 
Serverless Solutions for developers
Serverless Solutions for developersServerless Solutions for developers
Serverless Solutions for developers
 
Resume
ResumeResume
Resume
 
Intro to the Google Cloud for Developers
Intro to the Google Cloud for DevelopersIntro to the Google Cloud for Developers
Intro to the Google Cloud for Developers
 
Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DBBuilding near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
 
23.03.2015 Minsk .NET Meetup #15: Interop Between Scala and .NET
23.03.2015 Minsk .NET Meetup #15: Interop Between Scala and .NET23.03.2015 Minsk .NET Meetup #15: Interop Between Scala and .NET
23.03.2015 Minsk .NET Meetup #15: Interop Between Scala and .NET
 
Elastic Search Meetup Special - Yann Cluchey, Cogenta
Elastic Search Meetup Special - Yann Cluchey, Cogenta Elastic Search Meetup Special - Yann Cluchey, Cogenta
Elastic Search Meetup Special - Yann Cluchey, Cogenta
 
Building the Serverless Container Experience: Kevin McGrath, Spotinst, Server...
Building the Serverless Container Experience: Kevin McGrath, Spotinst, Server...Building the Serverless Container Experience: Kevin McGrath, Spotinst, Server...
Building the Serverless Container Experience: Kevin McGrath, Spotinst, Server...
 
Deploy your machine learning models to production with Kubernetes
Deploy your machine learning models to production with KubernetesDeploy your machine learning models to production with Kubernetes
Deploy your machine learning models to production with Kubernetes
 
Spark volume requirements 2018
Spark volume requirements 2018Spark volume requirements 2018
Spark volume requirements 2018
 

Similar to Anish_Resume

Understanding cloud with Google Cloud Platform
Understanding cloud with Google Cloud PlatformUnderstanding cloud with Google Cloud Platform
Understanding cloud with Google Cloud PlatformDr. Ketan Parmar
 
Using Google App Engine Python
Using Google App Engine PythonUsing Google App Engine Python
Using Google App Engine PythonAkshay Mathur
 
QUALITY ASSURANCE and VALIDATION ENGINEER
QUALITY ASSURANCE and VALIDATION ENGINEER QUALITY ASSURANCE and VALIDATION ENGINEER
QUALITY ASSURANCE and VALIDATION ENGINEER Piyush Prakash
 
Software Engineering: Today in The Betlefield
Software Engineering: Today in The BetlefieldSoftware Engineering: Today in The Betlefield
Software Engineering: Today in The BetlefieldHendri Karisma
 
Cooper, Mark Resume.Final.8.2.16
Cooper, Mark Resume.Final.8.2.16Cooper, Mark Resume.Final.8.2.16
Cooper, Mark Resume.Final.8.2.16Mark Cooper
 
Josin Wang Resume
Josin Wang ResumeJosin Wang Resume
Josin Wang ResumeJosin Wang
 
Ankit Mehta Resume
Ankit Mehta ResumeAnkit Mehta Resume
Ankit Mehta Resumeankitmeh
 
How to create a Function App on Cosmos DB
How to create a Function App on Cosmos DBHow to create a Function App on Cosmos DB
How to create a Function App on Cosmos DBHansamali Gamage
 
Resume_Jaimin_Sanghvi_FullStack_Developer
Resume_Jaimin_Sanghvi_FullStack_DeveloperResume_Jaimin_Sanghvi_FullStack_Developer
Resume_Jaimin_Sanghvi_FullStack_DeveloperJaimin Sanghvi
 
Resume_Aashish_Patel_22_June
Resume_Aashish_Patel_22_JuneResume_Aashish_Patel_22_June
Resume_Aashish_Patel_22_JuneAashish patel
 

Similar to Anish_Resume (20)

Understanding cloud with Google Cloud Platform
Understanding cloud with Google Cloud PlatformUnderstanding cloud with Google Cloud Platform
Understanding cloud with Google Cloud Platform
 
Using Google App Engine Python
Using Google App Engine PythonUsing Google App Engine Python
Using Google App Engine Python
 
QUALITY ASSURANCE and VALIDATION ENGINEER
QUALITY ASSURANCE and VALIDATION ENGINEER QUALITY ASSURANCE and VALIDATION ENGINEER
QUALITY ASSURANCE and VALIDATION ENGINEER
 
Udaykiran tippireddy resume_n
Udaykiran tippireddy resume_nUdaykiran tippireddy resume_n
Udaykiran tippireddy resume_n
 
AnilKumarT_Resume_latest
AnilKumarT_Resume_latestAnilKumarT_Resume_latest
AnilKumarT_Resume_latest
 
Software Engineering: Today in The Betlefield
Software Engineering: Today in The BetlefieldSoftware Engineering: Today in The Betlefield
Software Engineering: Today in The Betlefield
 
Cooper, Mark Resume.Final.8.2.16
Cooper, Mark Resume.Final.8.2.16Cooper, Mark Resume.Final.8.2.16
Cooper, Mark Resume.Final.8.2.16
 
Resume
ResumeResume
Resume
 
Aakanksha_Agnani_j2016
Aakanksha_Agnani_j2016Aakanksha_Agnani_j2016
Aakanksha_Agnani_j2016
 
Josin Wang Resume
Josin Wang ResumeJosin Wang Resume
Josin Wang Resume
 
Ankit Mehta Resume
Ankit Mehta ResumeAnkit Mehta Resume
Ankit Mehta Resume
 
Path to continuous delivery
Path to continuous deliveryPath to continuous delivery
Path to continuous delivery
 
How to create a Function App on Cosmos DB
How to create a Function App on Cosmos DBHow to create a Function App on Cosmos DB
How to create a Function App on Cosmos DB
 
Resume_Jaimin_Sanghvi_FullStack_Developer
Resume_Jaimin_Sanghvi_FullStack_DeveloperResume_Jaimin_Sanghvi_FullStack_Developer
Resume_Jaimin_Sanghvi_FullStack_Developer
 
AtanuResume_SBU
AtanuResume_SBUAtanuResume_SBU
AtanuResume_SBU
 
Ahmed El Mawaziny CV
Ahmed El Mawaziny CVAhmed El Mawaziny CV
Ahmed El Mawaziny CV
 
Resume_Aashish_Patel_22_June
Resume_Aashish_Patel_22_JuneResume_Aashish_Patel_22_June
Resume_Aashish_Patel_22_June
 
Resume
ResumeResume
Resume
 
Bhavesh_Shukla_Resume
Bhavesh_Shukla_ResumeBhavesh_Shukla_Resume
Bhavesh_Shukla_Resume
 
Resume
ResumeResume
Resume
 

Anish_Resume

  • 1. Anish GuptaSDE-2, Flipkart • Bangalore, India CELL (+91) 9620038307 • E-MAIL guptaanish11@gmail.com ! EXPERIENCE SDE-2 at Flipkart, Bangalore, Jan 2015 - Present • Development of large-scale Pricing System. Built it to support 200K QPS with 99.9P under 100ms. • Built Audit store for Pricing. This is a horizontally scalable system which currently stores 450Gb of query-able data with 99.9P write latency under 100ms and read latency under 50ms. SDE-1 at Flipkart, Bangalore, Nov 2013 – Dec 2014 • Created product segmentation service that helped in categorising products for dynamic and competitive pricing. • Wrote data fetcher and extractors for multiple websites. • Made Console, which helped business to have a deep understanding of existing pricing logic and easier to add new logics into the pricing engine. This project reduced the time for setting or/and validating the product prices from 4-5 hours to 2-5 minutes. Co-Founder, NewInTown.in • Developed dynamic website (both front-end and back-end) so that whenever a new entry is added to system, a new webpage will get created automatically and it’ll get reflect on website. • Built it to support 1k QPS with 99.9P under 100ms. • Made console for Admin to add/modify new entries, analytic use cases etc. • Did requirement gathering, planning, decision-making, operations, finance, etc. Internship, Cisco, Bangalore, Jan 2013 - June 2013 • CLI crawler: This tool is targeted to provide full coverage of CLI’s available in a software release and to catch certain abnormalities like device crash or trace backs. ! SKILLS Languages: Java, C, JavaScript, HTML, CSS, Shell Scripting Databases: MySQL, Aerospike, Cassandra Frameworks: Guice, Drop wizard, Hibernate, Aesop Others: Distributed systems understanding, operating system, network behavior etc. !
  • 2. EDUCATION B.Tech in IT, IIIT Allahabad, 2009-2013 Worked on multiple projects like: • Generating Network Attack Graph for Intrusion Detection • Music Recommender System using collaborative filtering and then using semantic web mining. • Sorting big files like (10 GB) using limited (100 MB) RAM. ! INTERESTS Travelling, Listening Music, Playing CRICKET, Video games, solving puzzles etc.