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Data Scientist and Deep Learning Engineer at NVIDIA . MS in Data Science from University Of New Haven/GalvanizeU Experience and interest in building Machine Learning, Deep Learning models. Professional  experience of more than 10 years in Application Development and Integration of Distributed systems for large scale Investment Bank and E- commerce applications.


Aug 2015Aug 2016

Masters in Data Science

University Of New Haven/GalvanizeU

Major in Data Science

Oct 2001Jun 2005

B.Tech Civil Engineering

National Institute Of Technology Jaipur

Major in Civil Engineering


Dec 2016Present

Deep Learning Engineer

  • AI Co-pilot - Working in automotive unit and focusing on building deep learning models for Co-pilot.
  • Research and Development of deep learning models which can make the copilot Artificially Intelligent and can assist the driver and act as guiding angel.

May 2016August 2016

Deep Learning Research Intern 

Msg.AI - Artificial Intelligence for Conversational Commerce
  • Research and development of new deep learning approaches to build Artificial Intelligent Conversation Agent . 
  • Building a deep learning system with memory using neural network to solve the shortcoming of understanding long term conversation and context for conversational agent.
  • Text classification system using RNN-LSTM network.
  • Trained domain specific corpus using word2vec and skipgram model.

Mar 2016August 2016

Graduate Student Researcher

Fox Type - Artificial Intelligence for writing smarter emails.
  • Image Classification , Object Detection and Captioning system : Understanding different architectures like VGG- Net , ResNet and then building a system which can build a natural description of images. This system will be built using Deep Learning models i.e CNN(Convolutional Neural Netwrok) and RNN(Recurrent Neural Network)
May 2013Jul 2015


Barclays Investment Bank
  • Design and Development of Regulatory Reporting Framework:
  • Automation of Build and Deployment process of Tibco BW and Business Event application reducing the number of resources and effort significantly. Scaled across multiple applications.
  • Design and development of Rule Engine using Jboss Drools.
  • Mentoring team mates , co-ordination with different teams based in New York , London etc for requirement gathering , architecture design etc.

Jun 2011May 2013

Senior Associate


JC Penney Feeds and Events:

  • Integration of multiple system into e-commerce web channel i.e.Pricing, Catalogue, Inventory, Account Profile etc. Catalog Integration into JC Penney ecommerce channel. 
  • Implementation of Catalog Integration into JC Penney ecommerce channel. With Catalog Integration one can view the PP, LOT,and Swatch level details at Browse site.
  • Migration of entire data from source JCP1 to the new ATG BCC repository.
  • Design and Implementation of Scene 7 Integration. This helps in viewing the dynamic images at Browse site.
  • Creating Load Balanced and Fault Tolerant EMS servers for high throughput and low latency.

Target  :

  • Setting up Middleware Infrastructure for Target using IBM MQ and MB product suit.

EISS(Enterprise Integration Shared Services): 

  • Building of Web Services and SOA platform for EISS team.
Jul 2007Apr 2011

Senior Software Engineer-Tech Lead 

  • Senior Developer with responsibilities like requirement gathering, development, end to end testing and Support to the client across the globe.
  • Design and Development of Global Confirms System : Middleware application which sends out confirms to different institutional clients through different mediums like Swift,OG,Email,Fax-Telex.
  • Development of different workflows using Tibco BW and Fuego BPM.


Sep 2005Jun 2007

Programmer Analyst

  • JP Morgan Chase - Global Commodities and Currency Group: Development of Risk and Reporting system.
  • Development of Enrichment Functions,Polling and reporting framework for different Front Offices.

Data Science Project

  • Building Dialog System and conversational platform using Deep Learning and Artificial Intelligence.
  • Building a deep learning system for chatbots which can remember long term conversation and context using RNN,LSTM , Memory networks etc
  • Build a question answer system using the facebook research dataset using memory networks.
  • Image Classification , Object Detection and Captioning system : Working on Capstone Project
  • Sentiment Analysis of Hotels using the review from Trip Advisor : Build a sentiment analysis engine using the 300k reviews from Trip Advisor.  This model was build using the NLP techniques like ngram , Word2Vec then different classification algorithm were tested like Logistic , Naive Bayes Classifier etc.
  • Real Time Mapping of geolocations in San Francisco for Uber Price Surge: This is a real time application which is built on Kafka , Spark Streaming , Hbase etc. It maps the locations in real time where price surge is happening in San Francisco it also analyses the historical pattern in price surge behavior .
  • Ranked 8th in Predicting Bidding Price Of Generic Drugs on Crowd Analytix Platform.


Technical Skills:

Building Supervised and Unsupervised Machine Learning Models, Predictive Analytics, Deep Learning, Service Oriented Architecture , Webservice etc

Machine /Deep Learning

Building deep learning and machine learning models eg: Linear Regression, Logistic Classifier , SVM , Decision Trees , Random Forest , Ensemble Modelling, Convolutional Neural Network, Recurrent Neural Network etc

Programming Languages and Libraries

Python, Java, Tensorflow,Ant ,Pandas,Numpy,Scikitlearn,Graphlab,Keras


Spark , Kafka, Spark Streaming , Hbase ,Hadoop, Eclipse, TIbco BW , Spring Btach, Spring Integration,Drools, Fuego BPM tool


  • Best Performer of the Quarter at Citigroup
  • Client Focused Delivery Award at Sapient
  • Cognizant Certified Professional in Core Java
  • Amongst the top .1% students in India in Mathematics in class X.