Pratilipi

Pratilipi is India's largest digital platform connecting readers and writers in 12 Indian languages.
Over 10 million downloads.

Pratilipi Comics

Revisit your favorite childhood stories or find your new treasured tales. Stories that are meant for you are one app download away.

Pratilipi FM

Explore a library of 10,000+ Audio on Pratilipi FM that gives of 200,000+ minutes of best audio experience. Winner of User's Choice App, 2020

Other PlayStore Publications

InstaSolv

InstaSolv is building 'Bharat's largest Q&A app' for one of the world's most competitive 'academic' demography - An AI/ML powered solution where students can simply scan vernacular questions and receive instant step-by-step solutions.

AskIITians

askIITians has brought a fine range of preparatory online courses for JEE & NEET. Each course caters to different study requirements of students.

Webkiosk

Webkiosk app has a seamless and simple user-interface which will revolutionise the way you look at your attendance and college schedule.

MP3 Player

Mp3 Music Player have Modern User Interface to easy operate music player . Music Player helps you manage all your music files quickly and easily .

Tech Stack

The technologies I have worked on over the years.

Android

Built 7 apps. Been consistently working in Android domain for 5 years. Expert in Jetpack components and love to work on all things shiny and new

NodeJS

Built Pratilipi Comics Backend over NodeJS. Worked extensively with ExpressJS and Fastify.

Python

Hands on experience with Django, Bottle and Boto3. Prefer to do all my scripting with Python especially when it comes to crons.

Golang

Scaled Pratilipi main app recommendation engine in Golang. Contributed to broker service over a microservice architechture in Goroutines.

SQL

Created Pratilipi Comics recommendation over a layer of SQL DB. Furthermore handled the Pratilipi main app which uses mysql.

Mongo

Built the entire Instasolv backend on MongoDB. Handled replica creation and instances management.

Neo4j

Entire Pratilipi recommendation service is built over a layer of Neo4j graph DB. Ran complex queries to resolve multilingual use-case

Redis

Entire Pratilipi platform uses Redis for response level as well as Entity level caching. Other than that have previously used RedisSearch as well.

AWS

Managed EC2 instances over ECS clusters. Created dashbaords for monitoring RDS instances. Decent experience with AWS to sustain and consolidate microservice based architeecture.