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Bio

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Arpita Khare is a seasoned software engineer with 2+ years of experience in full-stack web development, machine learning, and leadership. She holds a Master of Science in Computer Science from the University of Southern California and has worked at Amazon and BCG Digital Ventures.

Credentials

  • AWS Academy Graduate - AWS Academy Cloud Foundations
    Amazon Web Services (AWS)
    May, 2021
    - May, 2026
  • Product Manager Certificate
    Product School
    Apr, 2021
    - May, 2026

Experience

  • Amazon
    • Seattle, Washington, United States
    • Software Development Engineer
      • Jun 2022 - Present
      • Seattle, Washington, United States

    • Software Development Engineer Intern
      • May 2021 - Aug 2021

  • BCG Digital Ventures
    • Manhattan Beach
    • Software Engineer
      • Aug 2019 - Jul 2020
      • Manhattan Beach

  • BCG Digital Ventures
    • Manhattan Beach
    • Software Engineering Intern
      • Jun 2018 - Aug 2018
      • Manhattan Beach

  • BCG Digital Ventures
    • Manhattan Beach
    • Engineering Intern
      • Jun 2017 - Aug 2017
      • Manhattan Beach

      Geppetto Project – Fake News Detector (Machine Learning)Developed the front and backend of a web app using Flask Framework, Python, Html, and CSS which used machine learning to detect the legitimacy of an article. Created the POC of the Fake News Detector while on a team working closely with Blockchain. INTELEQ Project – Voice Emotion Detector (Artificial Intelligence)Developed with a team building software that detects emotions from audio and video clips. Familiarized myself with the JavaScript code base and worked on refactoring code. Additionally, I had a mini project to create a Python script that determines a labeled emotion for each audio and video clip based on input from volunteers on possible emotions within the clip. The script determined an accuracy score for each volunteer labeling clips, as an incentive to volunteers to label clips with the most accurate emotion possible.

    • Software Engineering Intern
      • May 2016 - Aug 2016

      Automated an otherwise manual and resource intensive database update process at MobileIron. MobileIron’s database stores information of recent product versions and requires a separate archive table for older versions, and version update info differs by client company. I implemented automatic activation and deactivation of necessary versions, categorized versions bybrand, and implemented automatic archiving of older versions to keep the database up-to-date, requiring little to no manual handling. I also developed the front-end, redesigning the version download page which clients access for latest version update. Used Python and MySQL.

Education

  • 2020 - 2022
    University of Southern California
    Master of Science - MS, Computer Science
  • 2015 - 2019
    University of Southern California
    Bachelor’s Degree, Computer Science
  • 2011 - 2015
    Archbishop Mitty High School

Suggested Services

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Industry Focus. “Computer Software”

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