Sourabh Patel

Experienced Full-Stack Developer with 7+ years in building scalable MERN stack applications. Skilled in developing responsive SPAs with React.Js, optimizing back-ends with Node.js, and implementing microservice architectures. Proficient in API integration, AWS deployment, and CI/CD pipelines, with a passion for delivering impactful digital solutions.

• 1. Project Name: Real-Estate Network (A Comprehensive Networking Platform for Professionals)

Description:
Real Estate Network is a LinkedIn-inspired platform designed for real estate professionals, offering tools for networking, job postings, forums, and interactive feeds. Built with a simple microservices architecture, it separates core functionalities such as user management, job portal, and communication services. Real-time communication is handled via WebSocket-based messaging, supporting private and group chats. The platform is hosted on a cloud environment with containerized services, ensuring scalability and high availability. Key features include secure authentication, advanced search functionalities, and a robust admin dashboard for monitoring and analytics.

• Key Features :
• Professional Networking: Create profiles, build connections, and collaborate within the real estate industry.
• Interactive Feeds and Forums: Engage with posts, like, comment, and participate in industry discussions.
• Job Portal: Post jobs, apply for positions, and manage applications seamlessly.
• Real-Time Communication: Group and private chats with WebSocket-powered instant messaging.
• Enterprise-Grade Security and Scalability: Secure authentication, data protection, and optimized performance for high traffic.

Responsibilities:
•Designed and implemented the entire project architecture, ensuring scalability and modularity using the MERN stack.
•Developed robust and secure RESTful APIs to manage backend operations, including job postings, user forums, and feed management.
•Built an administration system to facilitate user management, content moderation, and analytics for platform administrators.
•Designed and developed key frontend modules using React.js, ensuring a responsive and mobile- friendly user interface aligned with enterprise-grade standards.
•Integrated real-time WebSocket communication for managing user chats, group interactions, and live updates in forums and feeds.
•Conducted performance optimization and code reviews to ensure seamless scalability and adherence to industry best practices.
•Collaborated with cross-functional teams, including UI/UX designers and QA, to ensure a seamless user experience and deliver high-quality software.

Technology Used for Development:

• Technology: Node.js, JavaScript, Express.js, Websocket.
• Front End: ReactJs, CSS
• CI/CD: AWS, S3
• Database: MongoDB

2. Project Name: Kombicar  (All-in-One Taxi Booking and Car Sharing Platform)
Description:
Kombicar is a dual-purpose platform that combines taxi booking (like Uber) and car sharing (like BlaBlaCar) to meet diverse commuting needs. Built with a microservices architecture, it ensures scalability by separating functionalities like booking, payments, and notifications into independent services. Features include real-time GPS tracking, route optimization, and live updates via WebSocket communication, with Google Maps integration for navigation. Deployed on a cloud platform, it uses auto-scaling and load balancing for peak traffic management. Secure payments are ensured with PCI-DSS compliance, and the platform supports advanced features like surge pricing and fleet management.

Key Featres:

• Versatile Booking Options: On-demand rides, scheduled bookings, and multi-city support.
• Real-Time Tracking: GPS tracking, Google Maps integration, and live ride updates via sockets.
• User and Admin Interfaces: Intuitive driver/user apps and a feature-rich admin portal.
• Secure Payments: Multiple options, including cards, wallets, and cryptocurrency.
• Operational Insights: Advanced analytics, route optimization, and surge pricing.

Responsibilities:
• Designed the architecture and database schema, ensuring modular scalability for multi-city and multi-service operations.
• Developed REST APIs to power functionalities like ride booking, fare calculation, driver allocation, and admin management.
• Engineered advanced modules for ride-sharing, allowing users to join rides dynamically between pickup and drop-off points.
• Implemented features like scheduled bookings, enabling users to pre-book rides with accurate fare estimations and driver availability.
• Integrated real-time GPS tracking, Google Maps APIs, and live traffic updates to optimize routes and enhance navigation accuracy.
• Built support for luxury rides, including premium vehicle categories and personalized services for high-end customers.
• Developed a robust crypto wallet payment system alongside traditional payment methods for secure transactions.
• Added functionalities for surge pricing management, fleet utilization tracking, and performance optimization.
• Collaborated with cross-functional teams to ensure seamless integration between user and driver apps, real-time updates, and high system availability.
• Delivered advanced admin analytics dashboards, offering insights into user behavior, revenue trends, and operational metrics.

Technology Used for Development: 

• Technology: Node.js, JavaScript, Express.js, Websocket.
• Front End: ReactJs
• Visualization Tools: Google API (map, directions, firebase).
• CI/CD: AWS.
• Database: MongoDB

3. Project Name: CodeFeeling - Online Dating Application
Description:
CodeFeeling is a sophisticated online dating platform that leverages advanced matchmaking algorithms and a secure user experience to help individuals find meaningful connections. It offers personalized profiles, interest-based matches, and interactive features such as real-time chat and video calling. The platform is designed with scalability in mind, enabling high-performance matchmaking for a growing user base. The integrated admin system allows for efficient user management, content moderation, and actionable analytics to drive data-informed decisions, enhancing user satisfaction and engagement over time.
Key Features:
● Advanced Matchmaking Algorithms: Uses user interests, preferences, and location data to create more accurate and meaningful matches, ensuring a personalized experience.
● Secure Communication: End-to-end encrypted chat and video calling features, ensuring privacy and security for all interactions.
● Profile Customization: Dynamic user profiles that support multimedia uploads (images, videos) and detailed bio descriptions, enabling users to express their personalities fully.
● Real-Time Notifications: Instant alerts for new matches, messages, events, and profile updates, keeping users engaged and informed.
● Analytics and Insights: Admin dashboard with analytics that provide detailed insights into user activity, engagement trends, and platform performance.
● Comprehensive Admin System: Robust admin tools for managing user profiles, content moderation, and data-driven decision-making to optimize platform success.

Responsibilities:
● Developed a scalable admin system, allowing real-time user management, content approval, and detailed engagement reporting, ensuring a smooth platform experience.
● Built robust APIs for user authentication, matchmaking, and secure chat functionality using Node.js, enabling seamless interaction between users and real-time data processing.
● Integrated WebRTC for high-quality video calling, enabling secure, real-time communication and enhancing user interaction.
● Implemented OAuth 2.0 and end-to-end encryption to secure user data, authentication processes, and communication channels, ensuring privacy and compliance with security standards.
● Led user experience improvements by conducting feedback sessions and analyzing user behavior, resulting in iterative design and functionality enhancements for the platform.
● Deployed and maintained the platform using cloud-based infrastructure, ensuring high availability, load balancing, and optimized performance for a global user base.
● Utilized data analytics to track user behavior and interactions, providing insights to refine the platform’s matchmaking algorithms and improve overall user satisfaction.

Technology Used for Development:
● Technology: Node.js, JavaScript, Express.js
● Front End: ReactJs
● CI/CD: AWS
● Database: MongoDB