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Yeshwanth Devabhaktuni

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B.S.E in Computer Science Engineering
Chicago, Illinois, United States
Contact Yeshwanth regarding: 
Flexible work

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Résumé

Jobs verified_user 0% verified
  • Walmart
    Software Engineer
    Walmart
    Jun 2018 - Jun 2019 (1 year 1 month)
    - React and Redux for front end development for Walmart’s grocery application Using Walmart built platform Electrode.io for web development (includes Node.js) Enzyme and magellan for unit testing Selenium for automation testing
  • T
    Software Engineer
    Tenazx Inc
    Oct 2017 - May 2018 (8 months)
    - React, Redux and CSS for front end development for Walmart’s grocery application Electrode.io for web development React-native to develop mobile views which are then integrated with native code. Enzyme and magellan for unit testing
  • O
    Software Developer
    Oplogic
    Jun 2017 - Oct 2017 (5 months)
    - Used React with Redux and Vanilla Javascript for front end development Maintenance work on the database side using MySQL Built a socket service for real time updates using Socket.io and Node.js and the idea of polling.
  • I
    Software Engineer
    Infinite Web Designs
    Jun 2016 - May 2017 (1 year)
    - Developed large scale web applications in Healthcare industry (Henry Ford Pharmaceuticals, UM Health) Worked with Reactjs with Redux for front end, Socket.io for server side scripting, SQL Used Webpack and EcmaScript 6 for all React and Redux pro
  • Walmart
    Software Developer Intern
    Walmart
    Jun 2015 - Aug 2015 (3 months)
    - Global replenishment systems division intern Hands on experience creating a Java EE project using Java,JSF, richfaces, GSON and Jersey REST 1st place in hackathon project at Walmart
Education verified_user 0% verified
  • DePaul University
    Master’s in Data Science
    DePaul University
    Sep 2019 - Jan 2021 (1 year 5 months)
  • U
    B.S.E in Computer Science Engineering
    University of Michigan,
    Sep 2011 - Dec 2016 (5 years 4 months)
Projects (professional or personal) verified_user 0% verified
  • I
    Interactive machine learning research with Professor Eli Brown.
    IL DePaul University
    Jan 2020 - Jan 2021 (1 year 1 month)
    - uilt an interactive feedback system using React, D3, Python’s gensim for latent dirichlet allocation to fine tune search results driven by journalism text and articles data corpus. - Feedback system uses machine learning algorithms to help domain expert fine tune search results. - The interactive visualizations using D3.js give the domain expert further insights about all the documents and text which can be further fine tuned in specific directions based on the domain expert’s needs.