I am a Mobile Application Developer specializing in building high-performance cross-platform applications with React Native (Android & iOS). I have extensive experience in the JavaScript/TypeScript ecosystem and architecting backend solutions using Firebase (Auth, Firestore, Cloud Functions).
I have independently developed and deployed multiple applications on the Google Play Store and App Store, managing the entire product lifecycle from frontend/backend development to final store submission. I possess deep expertise in Push Notifications, location-based services, hardware sensor integrations (BLE, GPS), and building scalable, performance-driven mobile architectures.
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- Smart Notes AI Pro
Project Title: Smart Notes AI Pro: Personal AI Financial & Productivity Ecosystem - Ezan Vakti Plus
Project Title: Ezan Vakti Plus: Location-Aware Lifestyle & Utility App - Deprem S.O.S. (Earthquake SOS)
Project Title: Deprem S.O.S.: Real-Time Emergency Response & Safety System
Description: Developed a sophisticated multi-modular assistant that integrates Google Gemini 2.5 Flash API to manage personal finance, appointments, and daily tasks through natural language. The core engine uses AI Action Routing to understand user intent—whether recording an expense, scheduling a meeting, or analyzing a portfolio.
Financial Intelligence: Features a real-time Investment Tracker that fetches current market rates for instant Profit/Loss (P&L) analysis.
Smart Scheduling: Parses natural language to automate appointment booking and task categorization.
Tech Stack: React Native, Node.js, Firebase (Cloud Functions), Gemini 2.5 Flash API, Real-time Market APIs.
Description: A high-utility, location-based application designed for daily religious practices, serving 4,000+ active users. The app focuses on high-precision data delivery and a seamless offline-first user experience.
Sensor Integration: Engineered a precise Qibla Finder using the device’s Magnetometer sensor with real-time calibration.
Notification Engine: Developed a complex local and push notification system (FCM) for time-sensitive alerts across different time zones.
Tech Stack: React Native (Expo), REST APIs, Device Sensors, SQLite/AsyncStorage for offline persistence.
Description: A mission-critical safety application developed to provide early warnings and emergency communication during seismic events. It prioritizes low-latency alerts and background reliability.
Emergency Infrastructure: Built a low-latency alert system using Firebase Cloud Messaging (FCM) and implemented background GPS tracking for rescue scenarios.
Movement Detection: Utilizes device Gyroscope and Accelerometer sensors to detect potential impact or movement during emergencies.
Tech Stack: React Native, Firebase (Auth & Messaging), Background Geo-location Services, Motion Sensors.
Developed a sophisticated multi-modular ecosystem that integrates Google Gemini 2.5 Flash API to manage personal finance, appointments, and daily tasks through natural language. The core of the project is an AI Action Routing system that understands user intent—whether it’s recording an expense, scheduling a meeting, or analyzing an investment.
Key Modules & Features:
AI Financial Manager: Tracks income and expenses with automated categorization. It features a real-time Investment Tracker that fetches current market rates to provide instant Profit/Loss (P&L) analysis on user portfolios.
Intelligent Appointment System: Parses natural language to schedule and manage appointments, acting as a proactive personal secretary.
Advanced Data Reporting: Generates insightful financial reports and productivity summaries using AI-driven data synthesis.
Tech Stack: React Native, Node.js, Firebase (Firestore & Functions), Gemini 2.5 Flash API, Real-time Currency/Market APIs.
Key Achievements: Implemented advanced Prompt Engineering to ensure the LLM returns structured JSON outputs, enabling seamless integration between AI-generated insights and the app’s financial logic. Optimized the app for real-time data synchronization, ensuring accurate investment tracking.
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