Mrigya Agarwal

Software Engineer and Tech lead at Spotnana
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Contact Information
us****@****om
(386) 825-5501
Location
London, England, United Kingdom, UK
Languages
  • English Native or bilingual proficiency
  • German Professional working proficiency
  • Hindi Native or bilingual proficiency

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5.0

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Arlind Nocaj

Next to technical skills, Mrigya also has very good communication skills. She is always very professional in stakeholder management and I enjoyed having her in the team, since she could drive things forward.

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Credentials

  • IBM Certified Application Developer
    IBM
    Apr, 2018
    - Nov, 2024

Experience

    • United States
    • Software Development
    • 100 - 200 Employee
    • Software Engineer and Tech lead
      • Nov 2020 - Present

    • Ireland
    • Business Consulting and Services
    • 700 & Above Employee
    • Senior Software Engineer
      • Jun 2017 - Sep 2020

      1) Developed an end-to-end Microservices based, distributed machine learning pipeline for data extraction for various use cases from unstructured pdfs and images using Python.2) Developed OCR as a Microservice to convert images and unstructured documents to machine readable text.3) Built Cognitive Intelligence Support System using Microfocus’s AI tool IDOL which is used across a prominent Swiss bank to answer user queries via NLP chatbot and find relevant documents using Enterprise search.4) Developed backend components in Java which handles user chat flow including personalized greeting message, understanding intent of user query, giving various relevant answers and giving users the possibility to rate the conversation so the system can be improved. 5) Implemented Aura.Auth server protocols in Java Spring Boot to authenticate third party clients using the services with REST APIs. Show less

    • Azure and Google cloud engineer
      • Aug 2019 - Sep 2019

      1) Compared Microsoft Azure’s Computer Vision API and Read API for OCR of images.2) CI/CD: Built an end-to-end data extraction pipeline and released via Azure DevOps.3) Implemented and architected batch and streaming data pipelines on GCP. Leveraged GCP tools for data manipulation, analysis and visualization

    • United States
    • Software Development
    • 700 & Above Employee
    • Software Intern
      • Sep 2015 - Dec 2015

    • Switzerland
    • Higher Education
    • 400 - 500 Employee
    • Undergraduate Research Opportunities Program Intern
      • Jul 2012 - Aug 2012

      Implemented quickhull algorithm to efficiently compute the farthest line-segment hull in C++. Implemented quickhull algorithm to efficiently compute the farthest line-segment hull in C++.

Education

  • ETH Zürich
    Master's degree
    2014 - 2016
  • USI Università della Svizzera italiana
    Bachelor's degree, Computer Science
    2011 - 2014

Community

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