Ayush Patel
Senior Software Engineer (Android) at LendingTree- Claim this Profile
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Bio
Credentials
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Concurrent Programming with Android: Threads, Workers, and Kotlin Coroutines
LinkedInApr, 2022- Nov, 2024 -
Kotlin for Android: Best Practices
LinkedInApr, 2022- Nov, 2024 -
Android
TestDomeMar, 2019- Nov, 2024
Experience
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LendingTree
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United States
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Financial Services
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700 & Above Employee
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Senior Software Engineer (Android)
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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
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TimeTap
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United States
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Software Development
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1 - 100 Employee
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Android Developer
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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.
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TIAA
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United States
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Financial Services
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700 & Above Employee
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IT Intern
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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.
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Security Weaver (a Pathlock company)
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United States
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IT Services and IT Consulting
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1 - 100 Employee
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Trainee
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Jul 2016 - Aug 2016
I learned about Automation technologies and worked on AutoIT I learned about Automation technologies and worked on AutoIT
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Education
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University of North Carolina at Charlotte
Master's degree, Computer Science -
Medi-Caps Institute of Science & Technology , AB Road, Pigdamber (Rau) Indore-453331
Bachelor of Engineering, Computer Science