ROAM: A platform dedicated for Digital Nomads

Ali Mukhtar

Fullstack Engineer
Node.js
Python
React
- Developed a comprehensive property renting platform designed to streamline property showcasing, listings management, and financial transactions, achieving a 30% increase in user engagement during the closed beta testing phase.
- Engineered a robust frontend and backend architecture using React.js, Node.js, and Express.js, ensuring a scalable and high-performance application capable of handling high traffic and complex transactions.
- Integrated AI-based dynamic search and property evaluation features to enhance user experience and provide personalized property recommendations, reducing search times by 25%.
- Led a cross-functional team through an agile development process, maintaining on-schedule deliverables and ensuring high code quality and feature completeness.

Technical Achievements in ROAM

- Created initial mobile app designs and responsive interfaces for property showcasing using React.js, incorporating image galleries and key features. Implemented user onboarding with multiple sign-up/login methods utilizing OAuth for social media integrations and JWT for secure authentication.
- Developed property listings management forms and pages, integrating Redux for state management to ensure seamless data flow. Integrated Google Maps API for localized property discovery, implementing custom search filters using JavaScript and React hooks.
- Established core architecture with Node.js and Express.js for server setup, using PostgreSQL for the primary database. Developed RESTful APIs for property listings and user management, utilizing Express.js for efficient API creation and data handling.
- Implemented Redis for multi-level caching, enhancing data retrieval speeds and reducing server load. Integrated Stripe for secure payment processing and financial transactions, ensuring compliance with financial regulations.
- Built a review system with CRUD operations for ratings and reviews, and integrated Amazon S3 for storing user-uploaded images. Developed automated maintenance reminders and cleanliness verification using Node.js for task scheduling and execution.
- Created admin and virtual assistant dashboards with React.js and Node.js, implementing role-based access control (RBAC) for secure administrative functions. Deployed the entire application using Docker for containerization and Kubernetes for orchestration, ensuring high scalability and fault tolerance.
- Utilized CI/CD pipelines with Jenkins for automated testing and deployment, maintaining high code quality and minimizing downtime. Conducted extensive integration testing to ensure compliance with requirements and optimal performance.

Key Features

1. Intuitive User Onboarding: Supports multiple sign-up and login methods, including social media integrations, for easy access.
2. Property Showcasing and Listings Management: Responsive design with image galleries and detailed descriptions, allowing property owners to easily add and manage listings.
3. Localized Property Discovery: Integrates map APIs and search filters based on amenities and nearby attractions, facilitating efficient property searches for tenants.
4. Financial Management: Provides tools for income tracking, booking schedules, and secure payment processing, ensuring seamless financial transactions.
5. AI-Based Features: Offers dynamic search and property evaluation using AI, providing personalized recommendations and accurate property assessments.
6. Review and Maintenance Systems: Includes a robust review system for listings and automated maintenance reminders to uphold property standards.
7. Admin and Virtual Assistant Dashboards: Secure dashboards for administrative control and virtual assistant interactions, enhancing platform management.
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