Leelasri Sripana
Android Developer
Building scalable, user-friendly Android applications with 1.8 years of experience. Specializing in Java, Kotlin, and modern Android development practices.
Building scalable, user-friendly Android applications with 1.8 years of experience. Specializing in Java, Kotlin, and modern Android development practices.
• Implemented and tested features in company apps based on source code and requirements provided by team leads
• Worked with Android Studio, Java/Kotlin, Git, Gradle, REST APIs, JSON parsing, SQLite, and third-party SDKs throughout development and testing
• Collaborated on multiple apps, resolving bugs, optimizing performance, and improving UI/UX consistency
• Participated in code reviews and contributed to maintaining clean, efficient codebases
Developed a comprehensive diary application featuring Firebase OTP authentication, app lock security, customizable themes, and seamless note management. Implemented ViewPager navigation, SharedPreferences for data persistence, internal storage solutions, and REST API integration with TED Image Picker for enhanced media handling.
Built an engaging photo editing application with advanced filter systems, brightness adjustment controls using SeekBars, dynamic frame application features, and responsive UI layouts for optimal user experience.
Enhanced UI/UX consistency across multiple applications while collaborating with the team to debug crashes and optimize performance bottlenecks.
Gained hands-on experience in ML-based predictive modeling and Python programming, working on real-world machine learning projects and developing analytical skills for data-driven solutions.
Developed a sophisticated CNN model for self-driving car steering control, achieving an impressive 96.38% accuracy in predicting steering angles. This project demonstrates the application of deep learning in autonomous vehicle technology.
Implemented a comprehensive machine learning pipeline for predicting heart disease from healthcare datasets. Built robust predictive models to assist in early disease detection and medical decision-making.
Created an interactive web-based game using modern web technologies, featuring smooth animations, responsive design, and engaging user interface elements for an enjoyable gaming experience.