● Developed a high-performance Remittance Android app using Kotlin in a multi-module architecture following the MVVM approach, resulting in a 25% increase in transaction processing speed and enhancing user satisfaction.●Refactored the UI with Jetpack Compose, improving efficiency and maintainability, which led to a 40% reduction in UI-related bug reports and a 20% improvement in user engagement based on analytics.● Optimized the app size by 30%, decreasing download time and resource usage, which contributed to a 15% increase in user retention post-installation.●Implemented RSA-256 encryption for enhanced security and protection of sensitive data, achieving zero security breaches during the app’s lifecycle.● Conducted pair code reviews and ensured proper documentation throughout the development cycle, which improved code quality and reduced onboarding time for new team members by 30%.●Utilized CI/CD pipelines using GitLab to automate testing, building, and deployment processes, reducing deployment time by 50% and increasing release frequency by three deployments per month.

● Promoted from Junior Android Developer to Mid-Level Android Developer within two years due to exceptional performance, resulting in a 25% increase in project delivery speed and higher clientsatisfaction ratings.● Developed and maintained 10+ applications across various domains, including Fintech, E-commerce, and government projects, contributing to a 20% growth in the overall user base.● Utilized a tech stack of Java, Kotlin, and Jetpack Compose to build high-quality mobile applications,achieving an average user rating of 4.5 stars across platforms.● Focused on app optimization and bug fixing, achieving a 30% reduction in app size and a 15% decrease in crash rates, significantly enhancing overall performance and user experience.● Mentored junior developers, providing guidance on best practices and code quality, which resulted in a 30% improvement in their code quality metrics as measured by code reviews.● Implemented CI/CD pipelines using Jenkins for automated testing and deployment, reducing thedeployment time by 40% and increasing release frequency.