Anshdeep – Kotlin, Android, Jetpack Compose

A mobile security and behavioral intelligence SDK that helps financial institutions and digital platforms detect potentially fraudulent activity in Android apps. It collects device-level behavioral signals and passes risk intelligence to backend fraud detection systems.

• Led end-to-end development of production Android UI features and reusable SDK modules.
• Built capture of behavioral signals such as touch interactions, screen focus changes, device sensors and clipboard activity.
• Implemented detection of rooted devices, hooking frameworks and emulators, plus encrypted payload transmission and key management with Android StrongBox.
• Designed a modular architecture with Kotlin, Coroutines, Flow and Clean Architecture principles.
• Migrated the legacy Java codebase to 100% Kotlin.
• Raised automated test coverage from below 50% to 97%.
• Reduced initialization overhead by 25% through startup and runtime optimization.

An Android application used by field technicians to install, service and troubleshoot IoT devices deployed across fruit and nut orchards.

• Developed and maintained the Android app used by field technicians to install, service and troubleshoot IoT devices.
• Built offline-first workflows with reliable background synchronization for low-connectivity environments.
• Implemented BLE-based device discovery and real-time diagnostics.
• Reduced crash rates and improved app reliability and performance.
• Worked with firmware and backend teams on secure communication between the app and remote IoT devices.

A customer-facing Android app for a life insurance provider, where policyholders and prospective customers explore insurance products and manage their policies. The app has more than 5M downloads.

• Developed and maintained the Android app, which has 5M+ downloads.
• Reduced APK size and improved load times with efficient image loading, network caching and resource compression.
• Built customer-facing UI features and application workflows, integrating REST APIs.
• Kept the app stable and compatible across diverse Android devices, with an app store rating above 4.3.

A location-aware mobile parking app that simplifies parking discovery, using Bluetooth Low Energy and location services for proximity-based features.

• Developed the Android app from scratch as the Android developer.
• Implemented BLE scanning, geofencing and location services for proximity-based features.
• Designed scalable feature modules to support product growth.
• Built reusable UI components.