Vaibhav Kesarwani

Machine Learning Engineer at NovaceneAI
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Contact Information
us****@****om
(386) 825-5501
Location
Ottawa, Ontario, Canada, CA

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Kunwar R.

Vaibhav, is an outstanding person, has showed great potentialities in technical learning. Hardworking and really a good guy in personal life too.

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Experience

    • Canada
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Jan 2021 - Present

    • Canada
    • Software Development
    • 1 - 100 Employee
    • Machine Learning Researcher
      • Jun 2018 - Sep 2020

      • Built a topic model and semantic role labeling algorithm for news-targeted information extraction by using machine learning (SVM, RandomForest) and deep learning classifiers (CNN, LSTM). Achieved F-score: 0.92.• Built a sentiment analysis classifier for news dataset. Responsible for Data Modelling, Data Analysis, Data Transformation and Classification stages. Achieved F-score: 0.9.• Working as core member of R&D team with end-to-end SDLC coverage. Responsible for research, development and communication with key members of data curation team.

    • Machine Learning Researcher
      • Jan 2018 - May 2018

      Built a custom Named Entity Recognition application in Python/Java using Gensim, NLP4J, Apache OpenNLP, Google Knowledge Graph, NLTK, and Scikit. Dataset was 2 million instances with 4GB size. Achieved F-score: 0.94. Built a custom Named Entity Recognition application in Python/Java using Gensim, NLP4J, Apache OpenNLP, Google Knowledge Graph, NLTK, and Scikit. Dataset was 2 million instances with 4GB size. Achieved F-score: 0.94.

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant in Natural Language Processing
      • Jan 2016 - Dec 2017

      Worked as Research Assistant on the Graph Poem Project. This project aims to apply Natural Language Processing (NLP) techniques for the automatic classification and graphical visualization of poetry. The objective is to facilitate the academic study of poetry by employing Artificial Intelligence & Machine Learning algorithms.Worked on the project Metaphor Detection in Natural language using NLP, Machine Learning & Deep Learning. Published in ACL SIGHUM 2017. Worked as Research Assistant on the Graph Poem Project. This project aims to apply Natural Language Processing (NLP) techniques for the automatic classification and graphical visualization of poetry. The objective is to facilitate the academic study of poetry by employing Artificial Intelligence & Machine Learning algorithms.Worked on the project Metaphor Detection in Natural language using NLP, Machine Learning & Deep Learning. Published in ACL SIGHUM 2017.

    • India
    • Software Development
    • 700 & Above Employee
    • Team Lead
      • Apr 2013 - Nov 2015

      Worked as Team Lead of eGov product team. Responsible for design and development of eGov product• Led a team of 4 developers• Prepared Technical Specification documents for the eGov product• Developed the business logic layer using Java/Spring/JSTL• Integrated eGov product with existing OmniDocs (Newgen’s Document Management solution) product API• Earned appreciation from the client by reducing delivery timelines by 50% by introducing Spring & Bootstrap frameworks• Awarded by VP for upgrading the eGov product suite to a generic architecture thus streamlining project deliveries

    • Senior Software Engineer
      • Jan 2011 - Apr 2013

      Worked on Apache UIMA (Unstructured Information Management Architecture) to analyse large data sets of textual data.• Evaluated various frameworks for Document Analytics to analyze large data sets of textual data in OmniDocs product• Developed the analytics solution on Apache UIMA architecture with Java/OOPS/Design patterns• Undertook efforts to optimize queries needed to access meta-data• Performed unit testing of module

    • Software Engineer
      • Jul 2008 - Jan 2011

      Worked as Software Developer for EDMS project. Responsible for Semantic Analysis of OmniDocs documents.• Received 150% quarterly incentive twice for outstanding work on semantic analysis of OmniDocs documents• Integration with existing APIs of OmniDocs product• Offered customized solutions for any new requirement not available in the software• Carried out the coding of the designed solution using Java/JSP/Servlets• Developed unit test cases

Education

  • University of Ottawa
    Master’s Degree, Computer Science
    2016 - 2017
  • BIET Jhansi
    B.Tech., Computer Sc. & Engg.
    2004 - 2008

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