1. Conducted data analysis on user behavior and interaction trends with Large-scale Language Models (LLMs) on GPT wrapper applications, revealing insights that improved usability rates 2. Developed an intuitive graphical interface in Figma and implemented React.js components, enhancing user productivity by offering personalized language model interactions

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1. Developed scalable and high-performance Flutter system using GetX for efficient state and route management, ensuring clean code and enhanced productivity 2. Utilized MVVM architecture to achieve a clear separation of concerns, allowing maintainable, testable, and extensible code 3. Implemented core functionalities such as CRUD operations and calendar integration to manage doctor appointments, improving appointment scheduling efficiency 4. Integrated asynchronous data transfer with RESTful APIs and Firebase, reducing the app’s server response time by employing edge computing strategies 5. Optimized application performance by implementing local storage solutions with shared preferences, resulting in an improvement in app speed 6. Customized and optimized third-party Flutter packages, reducing development time and enhancing compatibility with legacy systems

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