resume_varun shetty_vs2567

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Varun Jagdish Shetty 45 Tiemann Place, Apt 5O, New York, NY 10027 | +1 (646)-712-4145 | [email protected] 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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Page 1: Resume_Varun Shetty_vs2567

Varun Jagdish Shetty 45 Tiemann Place, Apt 5O, New York, NY 10027 | +1 (646)-712-4145 | [email protected]

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