About Me
Kottapally
A forward-thinking developer offering more than a year of experienced building, integrating, testing, and supporting Banking Android applications for a Asia's top most Bank.
A forward-thinking developer offering more than a year of experienced building, integrating, testing, and supporting Banking Android applications for a Asia's top most Bank.
Co founded a consultancy firm About Kaspr :-
Kaspr is a new-age software development company. We deliver full-cycle services that cover all aspects of Software Engineering. Whether you are a startup or a major corporation, through intensive two-way communication, we gain deep insights into your business vision, bringing you the most optimal suite and cost-effective solutions.
Worked on Digibank application for Singapore. My Responsibilities :-
Responsible for basic banking functionalities like money transfer , investments, Debit cards and Dashboards on Android platform. These functionalities are being used in many Digibank applications as micro frontends.
Worked on Digibank application for Taiwan. My Responsibilities :-
1) Worked on MVP architecture patterns.
2) Familiar with various tools like Jenkins, Jira, bitbucket.
3) Fluency in Git.
4) Worked on Model view model patterns.
5) Worked on Micro frontends for Android studio.
6) Worked on several UI components.
7) Worked on testing tools like Espresso and Mockito for the code coverage.
8) Following Agile techniques.
9) Worked on Retrofit for api integrations.
10) Familiar with builf variants and flavours for product releases
Worked on Digibank application for India. My Responsibilities :-
1) Ensure applications are properly integrated with Android APIs.(Retrofit)
2) Worked on default architecture pattern like Model View Controller (MVC)
3) Worked on Unit and functional testing tools like Espresso , Mockito.
4) Known for writing efficient, maintainable, and reusable code.
5) Proficient in design, data structures, problem-solving, and debugging.
We study the performances of various different classifiers that recognises the patterns with different accuracies.The audio processing is considered frame by frame.We discuss the application of Convolutional Neural Networks and Convolutional Recurrent Neural Networks with transfer learning techniques to recognise the genre of the given song.
