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Columbia University in the City of New York

Activities and Societies: IEEE, Organized cultural festival Spirits 2011, helped in web development for its website.

Thadomal Shahani Engineering College

Software Engineer, MTS

Technologies: Java, Python, Keras, Tensorflow, Scikit, Spring, Hibernate, DB2, MongoDB, NLTK, POSTFIX, JavaScript, C#
• Working on converging disparate teams using their own JIRAs/mailboxes to use a single ticketing system. Current iteration on a windows client with Java Spring went live this month with three teams with volume of 300 unique conversations with average of 5 emails per conversations per team, plans to migrate to a web based interface in coming sprints based out of AngularJS and Spring.
• Developing an email listener service to rank emails based on urgency and sentiment. Using existing internal tools with modified training features. Reducing the operational overhead of primary team in directing emails to correct teams responsible for issue at hand by auto tagging emails using various statistical and deep learning algorithms.

Software Engineer

Technologies: Java, JMS, ZAPP, Spring, Jenkins, Perforce, Sybase, Autosys, SOAP XML
• Modified batch processes to compute pool rates, perform recon for agent lender disclosure and proxy rates for repo trading
• Migrated eighty Autosys jobs to R11 and added control files for internal audit with information of line count, digest and file names

Software Developer Associate

Technologies: Scala, Plasma (proprietary eventsourcing system), AMPS , Lucene, Scalatra, Cucumber, Gitlab, Jenkins, Akka, Cassandra, Mockito, ScalaTest 
•. Developed an application to manage dividend payouts on stock loans. It handles about 20 corporate actions and calculates payouts, posts payments in range of 3 – 20 million dollars daily and handles about 100K – 500K transactions in batch every night
 • Worked on a clearing component that matches the house trades (internal) to the street trades and reports breaks. This component will handle 150 million trades in a day in real time using Akka and Cassandra

Senior Software Engineer (Assistant Vice President - Programming Markets)

Technologies: Akka, Ignite, Scala, Java, Epic NLP parser, Orient DB, Couchbase, Memcache, UMLS
* Built modules of a fast data streaming system in Akka which performs semantic analysis of free text to structured data
* Worked on a REST endpoint that would consume about five EHRs (electronic health records) per minute and would perform noun phrase extraction, POS tagging, context negation, tumour dimension extraction and concept identification

Technologies: NodeJS, AngularJS, CircleCI, Jenkins
Worked on NodeJS backend and AngularJS front end and added CircleCI integration for continuous deployment 
The app connected the users with brands to win freebies

Full-stack Developer - Pro bono

Technologies: Stanford CoreNLP, Django, Ruby on Rails, PhantomJS, MongoDB, GitHub, Amazon EC2
* Worked as a backend engineer in a small team of seven engineers on both Django and Ruby on Rails MVC framework for a platform on content marketing for wealth managers
* Helped in phrase extraction using Stanford CoreNLP Tools (Used several Python libraries, Apache Thrift, Beautiful Soup), which is being used in a topic modelling engine powered by gensim (LDA and LSA). The phrases also helped improve the search results in Elastic Search for new content
* Used PhantomJS and Capybara to crawl web pages (Poltergeist gem in Ruby)
* Used RabbitMQ to scale bottleneck operations to communicate between internal Ruby on Rails/Django/Flask APIs

Software Engineer - NLP, Scalability, Back-end

Graduate Student - Computer Science

Technologies: Python, Django, MongoDB, MySQL, NLTK, Stanford CoreNLP, R, Google ngrams, Protégé, GitHub, SPARQL, Freebase, RDFlib
* Worked closely with a team of only eight developers to build the first beta version of a social networking based website aiming to change the way we review and rank our recommendations for anything and everything.
* Helped in creating the category matching engine that matched concepts shared on the website predefined classes eg. mapping Sushi places to Japanese restaurants, Pizza place to fast food restaurant etc. 
* This was a preprocessing step to write it to a semantic knowledge base. Used RDFlib and SPARQL to write to the knowledge graph
* Worked with the Django web framework using MVT design framework. Integrated code with RabbitMQ and Celery for process management, used MongoDB for caching. Worked with models on the backend to write to database based on MySQL. Used South Migrations for managing different versions of models for the apps
* Used APIs for Google, Yelp, FourSquare, DBPedia, Freebase, Word2Vec, WordNet, NLTK, apt-tagger for creating end to end semantic mapping system.
* Used Github for version controlling

Software Engineer- Natural Language Processing

Worked with Fortune 500 companies to provide SAP solutions. Gained experience in ABAP programming. Acquainted with Software Development lifecycle.