Ayush Patel

Senior Software Engineer (Android) at LendingTree
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Contact Information
us****@****om
(386) 825-5501
Location
Charlotte, North Carolina, United States, US

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Credentials

  • Concurrent Programming with Android: Threads, Workers, and Kotlin Coroutines
    LinkedIn
    Apr, 2022
    - Nov, 2024
  • Kotlin for Android: Best Practices
    LinkedIn
    Apr, 2022
    - Nov, 2024
  • Android
    TestDome
    Mar, 2019
    - Nov, 2024

Experience

    • United States
    • Financial Services
    • 700 & Above Employee
    • Senior Software Engineer (Android)
      • Jul 2019 - Present

      • Spearheading the Design and Development of LendingTree: Budget, Credit, Finance Tracker. • This mid-senior level experience is providing an outlook of the corporate world by exposing how the phases of the software development life cycle are implemented to develop a product in a company. • Being part of a small team gave 360-degree exposure to the whole application from product requirements to fulfilling user satisfaction. • Providing a seamless user experience which resulted in more than 99.95% crash-free users and 4.7 avg. users rating with the help of Crashlytics and A/B Tests. Show less

    • United States
    • Software Development
    • 1 - 100 Employee
    • Android Developer
      • Aug 2018 - Jun 2019

      • Developed Native application from scratch, which included features like Biometric Authentication, Multiscreen Layout, Session Management, Bottom Navigation View, Calendar View Appointments to make it free-flowing and more user friendly. • Technology – Android, REST APIs, Retrofit v2.0, MVC Architecture, Modular Design, Fragments, Vertical Stepper Form. • Developed Native application from scratch, which included features like Biometric Authentication, Multiscreen Layout, Session Management, Bottom Navigation View, Calendar View Appointments to make it free-flowing and more user friendly. • Technology – Android, REST APIs, Retrofit v2.0, MVC Architecture, Modular Design, Fragments, Vertical Stepper Form.

    • United States
    • Financial Services
    • 700 & Above Employee
    • IT Intern
      • Jun 2018 - Aug 2018

      • Implemented Logistic Regression model to find transactions that can be fraud using R. • The model was used for storing all the transactions to determine the fraud scores. Further, these scores were used to set a limit to classify them as fraud and non-fraud testing various tuning parameters and normalization of the data. • Implemented Logistic Regression model to find transactions that can be fraud using R. • The model was used for storing all the transactions to determine the fraud scores. Further, these scores were used to set a limit to classify them as fraud and non-fraud testing various tuning parameters and normalization of the data.

    • United States
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Trainee
      • Jul 2016 - Aug 2016

      I learned about Automation technologies and worked on AutoIT I learned about Automation technologies and worked on AutoIT

Education

  • University of North Carolina at Charlotte
    Master's degree, Computer Science
    2017 - 2019
  • Medi-Caps Institute of Science & Technology , AB Road, Pigdamber (Rau) Indore-453331
    Bachelor of Engineering, Computer Science
    2013 - 2017

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