Iustin is a Senior iOS Developer iterating native iOS apps for clients with a focus on code quality, the latest design guidelines and end-user experience across a wide range of applications and platforms. He has a solid understanding of Computer Vision and Augmented Reality solutions, mobile governance and development standards and provides leadership for product design, integration and launch on projects.
Develop robust iOS applications, cross-platform and machine learning solutions for clients.
Apply expert knowledge of iOS system frameworks in defining and implementing app architecture and complex user interfaces on solutions.
Troubleshoot and debug solutions to optimize performance and provide support for the entire application lifecycle (concept, design, test, release, and support).
Designed solutions for the migration of the Knowledgebase app architecture to an MVVM-Coordinator-based solution; reducing total development time by 50%.
Migrated the app to a native iOS solution; eliminating app lag by refactoring the need for third-party libraries into highly efficient helper classes on the solution.
Researched and suggested new mobile products, applications, and protocols; ensuring that solutions meet quality standards.
Handled tasks for the AeroConf app; migrating the app architecture to an MVVM-based solution; reducing yearly update time by 90%.
Iterated more intuitive UI components on the AeroConf app and added offline support using a lightweight NoSQL database; improving user satisfaction by 50%.
Designed and developed dynamic UI solutions for the Connect app; reducing development time for future changes to a couple of minutes.
Worked on Knowledgebase a module of a banking app that was lagging and used web views. Implemented new solutions on the module to make it work faster and more efficiently. Handled new development and migration tasks and refactored the solution. The module is part of a bigger app that has not been released yet.
Developed the Rock Paper Scissors game that uses the camera and
computer vision to provide real-time hand-pick recognition for enhanced user experience. Designed, implemented, and published the app and achieved a gesture recognition accuracy of over 90%, by creating and augmenting a dataset composed of hand gesture images; used in training the model and integrated the machine learning with the app using an intuitive design. The app was released and published on the AppStore.
SPOT is a social network app that brings real people together in the real world. The app needed frequent code updates for new features, UI redesign, and continuous maintenance, which implied long development time and high costs due to poor design. Migrated the old solution to an MVVM-based solution and refactored third-party libraries on the solution; reducing development time for new features by 90%. The app was released and published on the App Store.
