10/28/2026 updated
100 % available
Android App Developer & Software Engineer
Mumbai, India
Only remote
Bachelor of Technology in Computer Science and EngineeringJava (Programming Language)Android StudioMobile Application DevelopmentDjangoSpring BootGoogle FirebaseBackendKotlinBackend ProgrammingJetpack Compose
Android Development
Expertise in building native Android applications using Jetpack Compose, Kotlin Coroutines, MVVM architecture, Retrofit, XML Layouts, and Android SDK, with hands-on experience delivering production-grade apps.
Backend Development
Proficiency in developing and maintaining RESTful API backends using Spring Boot and Django, including deployment, bug resolution, and supporting new features across platforms.
Machine Learning Integration
Experience in planning, deploying, and integrating machine learning models such as DBSCAN clustering and ML-based team formation systems into mobile and backend applications using TensorFlow and related tools.
Programming Languages
Strong command of Java, C, Kotlin, and Python for developing diverse software solutions across mobile and backend domains.
Database Management
Hands-on experience with Firebase Realtime Database, MySQL, Room Persistence Library, and Neon PostgreSQL for robust and scalable data management.
Full-Stack Development
Ability to build full-stack applications combining Android frontends with Spring Boot or Django backends, supporting authentication, role-based workflows, and real-time features.
Version Control & Tools
Practical use of Git, Android Studio, and REST APIs as part of a professional development workflow, ensuring code quality and collaboration.
Object-Oriented Programming & System Design
Solid foundation in OOP, DBMS, Operating Systems, Computer Networks, and clean code principles applied in academic and professional projects.
Expertise in building native Android applications using Jetpack Compose, Kotlin Coroutines, MVVM architecture, Retrofit, XML Layouts, and Android SDK, with hands-on experience delivering production-grade apps.
Backend Development
Proficiency in developing and maintaining RESTful API backends using Spring Boot and Django, including deployment, bug resolution, and supporting new features across platforms.
Machine Learning Integration
Experience in planning, deploying, and integrating machine learning models such as DBSCAN clustering and ML-based team formation systems into mobile and backend applications using TensorFlow and related tools.
Programming Languages
Strong command of Java, C, Kotlin, and Python for developing diverse software solutions across mobile and backend domains.
Database Management
Hands-on experience with Firebase Realtime Database, MySQL, Room Persistence Library, and Neon PostgreSQL for robust and scalable data management.
Full-Stack Development
Ability to build full-stack applications combining Android frontends with Spring Boot or Django backends, supporting authentication, role-based workflows, and real-time features.
Version Control & Tools
Practical use of Git, Android Studio, and REST APIs as part of a professional development workflow, ensuring code quality and collaboration.
Object-Oriented Programming & System Design
Solid foundation in OOP, DBMS, Operating Systems, Computer Networks, and clean code principles applied in academic and professional projects.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishFluent
Project history
Maintaining and enhancing SAFE, BodhiVerse's backed exam and classroom management application serving 1.5 lakh+ users, developing and supporting the native Android app using Java, handling 8+ production app deployments, and maintaining the Django REST API backend.
Built a full-stack freelancing platform using Jetpack Compose, Spring Boot, and Neon PostgreSQL, supporting secure role-based workflows, authentication, and real-time project management. Designed an ML-based team formation and skill matching system and implemented 10+ core modules.
Developed a full-stack Android application using Jetpack Compose and MVVM architecture with clean code principles. Planned and deployed machine learning models using a Spring Boot backend with RESTful APIs, reducing app size by 15-30MB.