• Develop an apps for Android using Kotlin language and Android Studio.• Adapt to projects that still use Java by being able to master Java and Kotlin to develop the apps.• Know and use the Volley implementation for the API.• Know, use and configuring Gradle and third-party dependencies.• Implemented an app to facilitate customer communication with Android mobile devices.• Optimized app performance and provided enhancements to user experience.• Coordinated with other members of the development team to ensure project goals were met.

• Developing a mobile app using React Native programming.• Knowing about Git and Jira.• Able to work in solid teamworks.• Developed mobile apps for multiple platforms (iOS and Android)• Utilized tools such as React Native and Kotlin to create mobile app experiences.• Improved mobile user experience by debugging and troubleshooting code.

• Learned and understand SOLID principles in mobile programming.• Have learned the basics of Java and Kotlin programming languages.• Completing a learning certificate to create a beginner Android app in Dicoding.• Completed an Android app Fundamental learning certificate in Dicoding.• Completed Android Jetpack Pro certificate in Dicoding.• Attend various Career Development and Mobile Development classes led by professional instructors.• Collaborating with a team of 6 people in developing Mobile-Based Indonesian Sign Language Learning and Translator Applications as a Capstone Project.• Completed 6 months of academic studies as an Android Developer with satisfactory grades.

• Working on a Hydroponic IoT project belonging to the research development of Dian Nuswantoro University as a machine learning builder to detect plant wilting levels using digital images.• Developed algorithms and data processing systems to improve the accuracy and performance of machine learning models.• Implemented machine learning models for classification and clustering tasks.• Developed pipelines of data ingestion, preparation, and processing for machine learning model optimization.• Designed experiments to evaluate and debug machine learning models and algorithms.• Developed real-time streaming and batch-based machine learning architectures.