Nasir Bhotta - Backend Engineer | Contra
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Nasir Bhotta
Software Engineer | Mobile, Web, AI Automation & SaaS
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GALLERY L
Lahore, Pakistan
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Lahore, Pakistan
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RideOps is a dual-sided ride-hailing application built with Flutter for both passengers and drivers, designed to manage the complete ride-booking flow from request to trip completion. The platform includes separate experiences for riders and drivers, with role-based onboarding, authentication, pickup and drop-off selection, vehicle choice, nearby driver discovery, live ride status updates, driver arrival tracking, trip handling, and in-app communication. I worked on the Flutter UI, Firebase integration, Google Maps functionality, authentication, business logic, real-time ride states, and passenger/driver workflows. The application was structured to keep rider and driver logic organized while supporting real-time coordination between both sides of the platform. Key Features Passenger and driver applications Role-based registration and login Pickup and drop-off location selection Google Maps integration Nearby driver search Vehicle selection Ride request and acceptance flow Live trip and driver status updates Driver arrival tracking In-app messaging Trip history and ride management Firebase authentication and real-time backend Clean, scalable Flutter architecture Tech Stack: Flutter, Dart, Firebase, Google Maps API, REST APIs
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NIZAAM is a retail management SaaS designed for mobile shops and small retail businesses to manage their daily operations from a single system. The platform helps shop owners handle sales, inventory, suppliers, expenses, accounts, and business reporting without relying on multiple separate tools. I developed NIZAAM using Flutter and Supabase, with a strong focus on real-world retail workflows, data accuracy, and ease of use. The system includes product and stock management, sales recording, supplier management, account transactions, expense tracking, reporting, authentication, and role-based data access. The backend is built on Supabase PostgreSQL with Row Level Security (RLS) to keep business data isolated and secure. The architecture is designed to support multiple users and branches while keeping the app simple enough for everyday shop operations. I also worked on the database structure, business logic, authentication flows, reporting modules, and synchronization between the Flutter frontend and backend. Key Features: Sales and transaction management Product and inventory tracking Supplier management Expense and account records Business reports and analytics User authentication and access control Multi-user / branch-ready architecture Secure Supabase backend with PostgreSQL & RLS Mobile-friendly and easy-to-use interface Tech Stack: Flutter, Dart, Supabase, PostgreSQL, Row Level Security, REST APIs
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NavDrive is a Flutter-based real-time navigation application built with Mapbox. It includes live GPS tracking, route visualization, ETA and distance updates, turn-by-turn guidance, off-route detection, automatic rerouting, arrival handling, camera follow/recenter modes, and a custom 3D vehicle experience. I focused on building the navigation logic with a clean modular structure so location handling, route progress, camera behavior, and map rendering remain easy to maintain and extend. Tech Stack: Flutter, Dart, Mapbox, Geolocator, Firebase
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BrainBee is a modern EdTech mobile application designed to make learning more engaging, structured, and accessible for students. I developed the application in Flutter with a focus on clean UI, smooth performance, and a scalable architecture. The platform allows students to access learning content, practice through interactive quizzes, track their progress, and improve their understanding through a simple and distraction-free experience. Key features include: • Interactive quizzes and assessments • Multiple-choice learning activities • Instant results and feedback • Student progress tracking • User authentication • Firebase backend integration • Structured educational content • Responsive and student-friendly UI • Android and iOS support • Modular architecture for future expansion The project was built with scalability in mind, making it possible to extend the platform with features such as flashcards, AI-assisted learning, personalized recommendations, advanced analytics, streaks, achievements, and additional learning modules. Tech Stack: Flutter, Dart, Node.js, Express.js, Mongodb, Firebase, REST APIs
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