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Varun Jagdish Shetty
45 Tiemann Place, Apt 5O, New York, NY 10027 | +1 (646)-712-4145 | vs2567@columbia.edu
https://github.com/vshetty2410 | https://www.linkedin.com/in/shettyvarun
Academic Background
Columbia University, New York | M.S. in Computer Science
Relevant coursework - Micro-Service Apps and APIs, Cloud Computing and Big Data, Natural
Language Processing, Fundamentals of Speech Recognition, Machine Learning
Dec 2016
GPA 3.84/4.0
University of Mumbai, Mumbai | B.E. in Information Technology
Ranked 15 in a class of 100 graduating students
July 2008 - May 2012
GPA 3.4/4.0
Experience
L&T InfoTech, Mumbai Oct 2012-June 2015
PROS© Professional Services – Software Engineer
- Implemented product features targeting business critical use-cases with minimal regression errors
- Analysed the client server defects and provided solutions for maximizing efficiency of the product after rigorous test runs
- Contributed to an Agile team which was tasked with setting up server usage charts based on the log analysis performed
using the ElasticSearch, Kibana and Logstash stack
- Developed a host of Java based solutions to address product configurations defects customized to each client AWS
environment
- Conceptualized and deployed a script to centralize database management activities and streamline the entire process
Projects
Contextual information extraction from speech (Individual Project)
- Applied natural language processing to active conversations to extract contextual information about a specific speaker
and fill a basic html form
- Aggregated results from multiple named entity recognition APIs which enabled the system to identify the relevant data
and helped map the optimum entities to the valid form elements
Real-Time Trend Analysis
- Leveraged tweet data using the twitter API and displayed the same on a HeatMap in the Google Maps API
- Utilized the RethinkDB changefeed property to stream live data for a particular keyword thus reducing the overhead of
polling the database constantly for new tweet data
- Applied Alchemy API to extract the perceived sentiment of the tweet with the keyword and based on the location define
Heatmap metrics for a region
Bite Stock Exchange App
- Engineered the backend for pricing menu items based on the demand-supply model of a stock exchange for a restaurant
- Created REST API endpoints to utilize the user’s social and geo-location data and service requests for activities like placing
of orders and creating a menu recommendation system
Course Registration System
- Designed and implemented a system using the micro-service paradigm and deployed the system with a z-axis scaling
factor
- Created a highly configurable referential integrity component for ensuring the traditional foreign key reference across
isolated micro-service components
Machine Translation
- Implemented the IBM Models 1 & 2 in Python for studying the EM algorithm convergence and using it for bi-directional
translation of an English corpus to German and back
- Also developed a working code for the Berkeley Aligner to successfully translate the English corpus to German with an
error rate less than 55%
Technical Skills
Computer Languages / Frameworks Java, Python, Node
Relational Store SSMS, Oracle, MySQL
Tuple / Columnar / Document Stores RethinkDB, ElasticSearch, Redis
AWS EC2, EBS, SQS, SNS, S3
Other Alchemy API, OpenCalais, Standford NER, Semantria

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Resume_Varun Shetty_vs2567

  • 1. Varun Jagdish Shetty 45 Tiemann Place, Apt 5O, New York, NY 10027 | +1 (646)-712-4145 | vs2567@columbia.edu https://github.com/vshetty2410 | https://www.linkedin.com/in/shettyvarun Academic Background Columbia University, New York | M.S. in Computer Science Relevant coursework - Micro-Service Apps and APIs, Cloud Computing and Big Data, Natural Language Processing, Fundamentals of Speech Recognition, Machine Learning Dec 2016 GPA 3.84/4.0 University of Mumbai, Mumbai | B.E. in Information Technology Ranked 15 in a class of 100 graduating students July 2008 - May 2012 GPA 3.4/4.0 Experience L&T InfoTech, Mumbai Oct 2012-June 2015 PROS© Professional Services – Software Engineer - Implemented product features targeting business critical use-cases with minimal regression errors - Analysed the client server defects and provided solutions for maximizing efficiency of the product after rigorous test runs - Contributed to an Agile team which was tasked with setting up server usage charts based on the log analysis performed using the ElasticSearch, Kibana and Logstash stack - Developed a host of Java based solutions to address product configurations defects customized to each client AWS environment - Conceptualized and deployed a script to centralize database management activities and streamline the entire process Projects Contextual information extraction from speech (Individual Project) - Applied natural language processing to active conversations to extract contextual information about a specific speaker and fill a basic html form - Aggregated results from multiple named entity recognition APIs which enabled the system to identify the relevant data and helped map the optimum entities to the valid form elements Real-Time Trend Analysis - Leveraged tweet data using the twitter API and displayed the same on a HeatMap in the Google Maps API - Utilized the RethinkDB changefeed property to stream live data for a particular keyword thus reducing the overhead of polling the database constantly for new tweet data - Applied Alchemy API to extract the perceived sentiment of the tweet with the keyword and based on the location define Heatmap metrics for a region Bite Stock Exchange App - Engineered the backend for pricing menu items based on the demand-supply model of a stock exchange for a restaurant - Created REST API endpoints to utilize the user’s social and geo-location data and service requests for activities like placing of orders and creating a menu recommendation system Course Registration System - Designed and implemented a system using the micro-service paradigm and deployed the system with a z-axis scaling factor - Created a highly configurable referential integrity component for ensuring the traditional foreign key reference across isolated micro-service components Machine Translation - Implemented the IBM Models 1 & 2 in Python for studying the EM algorithm convergence and using it for bi-directional translation of an English corpus to German and back - Also developed a working code for the Berkeley Aligner to successfully translate the English corpus to German with an error rate less than 55% Technical Skills Computer Languages / Frameworks Java, Python, Node Relational Store SSMS, Oracle, MySQL Tuple / Columnar / Document Stores RethinkDB, ElasticSearch, Redis AWS EC2, EBS, SQS, SNS, S3 Other Alchemy API, OpenCalais, Standford NER, Semantria