Sep 2018 – Feb 2020 · 1 yr 5 mos · Bengaluru, Karnataka, India

• Building platforms

Jul 2016 – Jun 2018 · 1 yr 11 mos · Greater Hyderabad Area

• I have developed Facebook, Alexa and Google Home bots from the scratch in NodeJS for the product to support the financial payments from the bots itself. I have built front end admin panel to support Client On boarding to avail the services of chatbots.

Jul 2015 – Apr 2016 · 9 mos · Bengaluru, Karnataka, India

• I have worked on Django restful apis, Cassandra data modelling and Elastic Search for the product. I have contributed to various frontend work. I have developed Notification system for product to send out the notifications of various activities of users.

Jul 2014 – Jul 2015 · 1 yr · Gurugram, Haryana, India

• Developed SDK for iOS mobile applications
• Implemented tracking methods those automatically detects the screen name and captures the user engagement (like screens viewed and events clicked etc…).
• Implemented automatic way of sending push notifications to application by providing push certificate. Automatically tracks the installation source.
• Successfully integrated SDK into some popular applications which are live now.

Dec 2012 – Dec 2012 · 0 mo · Bengaluru, Karnataka, India

• Analysis of spoken text in voice conversation:
• Description:
• Understanding user intent by analyzing phrases in text and finding relations between them Understanding Stanford NLP & open NLP applications to get parse trees
• Use word net to get similarities between phrases by computing various distance metrics
• Developed a UI to display parse trees and similarity metrics

May 2012 – Jun 2012 · 1 mo · Bengaluru, Karnataka, India

• Developing Information Extraction Framework:
• Description:
• Developed Information extraction framework to retrieve information from Wikipedia Infobox
• Understanding different formats of Wikipedia Infoboxes
• Writing specific parser to parse and extract the information from each type of Wikipedia Infobox
• Populating the Structured information in Mysql table so that it can be used at application level in a
• more sophisticated way

Jun 2010 – Jul 2010 · 1 mo · bangalore india

• Creating binary image database for photo OCR systems:
• Description:
• Create binary image data from images which is used for training a text/non-text classifier. Given an image patch, classifier predicts whether image has text or not. Primarily used in photo OCR systems