Aaliya Hussain

Android Developer · Kotlin, Jetpack Compose, React Native

Navi Mumbai, Maharashtra, India

@aaliya_hussain

LinkedIn GitHub

0 followers

🎓 B.E Computer Engineering (Minor: Data Science) at SIES GST · Graduating 2028

About

Android developer proficient in Kotlin and Jetpack Compose, with cross-platform experience in React Native. Building applied machine learning skills through real-world projects, with hands-on exposure to application security and open-source contribution.

Experience

Android App Developer

Cindral

Nov 2025 – Feb 2026

Assisted in development of Commentary Box, an Android application. Designed and developed an EV maintenance app using React Native. Contributed to feature implementation and debugging. Collaborated with team members using Git for version control.
App Coordinator

Technical Team · Navi Mumbai

Aug 2025 – May 2026

Worked on feature development for the Companion App. Coordinated with developers to test and improve app functionality. Helped manage updates and technical tasks within the team.

Education

2028

B.E Computer Engineering (Minor: Data Science)

SIES GST

Computer Engineering · 2024 – 2028

Computer Engineering · 2024 – 2028

Skills

<3 months

Flow NumPy Python Pandas FastAPI PyTorch Retrofit Coroutines React Native RESTful APIs Deep Learning Room Database Jetpack Compose MVVM Architecture Data Preprocessing Feature Engineering Convolutional Neural Networks

Tools / apps / platforms

3 to 6 months

Git

<3 months

Figma GitHub Supabase Android Studio

Projects

ContextCam ↗

React Native, Expo, Gemini API, Firebase ML Kit

Built a React Native app auto-detecting document type via on-device OCR, delivering mode-specific analysis using Gemini API. Designed an offline-first OCR pipeline with Firebase ML Kit for instant text extraction from labels, contracts, and formulas. Added privacy-focused local history with 30-day auto-delete and PDF export for user data control.
RapidReach ↗

Kotlin, Jetpack Compose, Supabase, OSMDroid, Room, WorkManager

Engineered a one-tap SOS system with real-time location sharing and biometric-protected alert cancellation, reducing emergency response trigger time to under 2 seconds. Integrated Overpass API and OpenStreetMap for offline emergency services lookup, eliminating dependency on paid map APIs while covering hospitals, police, and fire stations. Built a Supabase-backed sync pipeline with Room and WorkManager, ensuring SOS data delivery even under network loss.

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