Android Engineer with 3+ years in Kotlin, Java & Jetpack Compose
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Senior Android Developer with 5+ years of experience building high-performance scalable mobile applications using Kotlin and Java. Strong expertise in MVVM/MVI architecture, Jetpack Compose, and modern Android development practices. Experienced in building enterprise-grade POS applications with offline-first architecture, real-time data synchronization, and secure payment workflows. Proficient in Retrofit, Room, Coroutines, Flow, and Firebase. Skilled in delivering production ready applications with a focus on performance, scalability, and maintainability.
Aryabhatta Knowledge University
BTech · Computer Science Engineering
August 1, 2016 – June 30, 2020
Chetu Inc
Software Engineer - Android Engineer
February 1, 2023 – Present
India
Crio Digital
Software Engineer - Android Engineer
March 1, 2021 – January 1, 2023
India
Potato Disease Detection
October 1, 2024 – November 1, 2024
• Developed an end-to-end Android application for plant disease detection with image capture and real-time prediction • Integrated ML model via REST APIs for seamless Android-to-backend communication • Built and deployed a CNN-based model using TensorFlow with image preprocessing and augmentation • Deployed backend on GCP using FastAPI for scalable real-time inference • Optimized API integration and image handling for performance and reliability
View ProjectComplete A.I & Machine Learning, Data Science Bootcamp
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans enterprise-grade application development (Chetu Inc) and media content creation (Crio Digital), demonstrating adaptability across different product types. The academic project involving AI/ML integration further showcases a breadth of interest and willingness to explore new technologies. The focus on scalable, maintainable, and performant applications aligns with best practices in a professional engineering culture.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with backend and QA teams, suggesting good teamwork and operational fit. The descriptions of building end-to-end workflows and delivering production-grade applications indicate a focus on complete feature delivery and reliability.