Fullstack Engineer with 2+ years in MERN, Next.js & Real-time Systems
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Results-driven Full-Stack Developer with 2.6+ years of professional experience building scalable, production-grade web applications. Proficient in the MERN stack (MongoDB, Express.js, React, Node.js) with additional expertise in Next.js, NestJS, PostgreSQL, Redis, and real-time systems. Proven track record delivering complex features including ride-hailing platforms, AI-powered applications, real-time chat, and microservices architecture. Open to remote and on-site opportunities.
Hooghly Engineering and Technology College
B.Tech · Computer Science & Engineering
August 1, 2018 – June 30, 2022
Techidata Solutions
Full-Stack Developer
June 1, 2023 – March 1, 2026
Delhi, Delhi, India
Techidata Solutions
Full-Stack Developer Intern
February 1, 2023 – June 1, 2023
Delhi, Delhi, India
My Answer AI - AI-Powered Q&A Platform
June 10, 2026 – Present
Built a full-stack AI question-answering platform on the MERN stack (MongoDB, Express.js, React, Node.js). Integrated Google Gemini API to generate intelligent, context-aware answers in real time. Implemented secure user authentication with JWT and protected API routes. Designed a clean, responsive UI in React.js optimized for fast, low-friction user interactions.
Ride-Hailing Platform - Uber-style Full-Stack App
June 10, 2026 – Present
Developed a production-grade ride-hailing platform with real-time driver matching and live GPS tracking via Socket.IO. Implemented geospatial queries and location caching using Redis, enabling sub-second proximity lookups. Decoupled ride-request flows with RabbitMQ event queues, improving system reliability under load. Designed dual-database architecture: PostgreSQL for transactional data, MongoDB for flexible ride records.
Convoo - Real-Time Chat Application
June 10, 2026 – Present
Built a full-stack one-to-one chat application with clean message threading and persistent history. Designed a hybrid data model: PostgreSQL for users/conversations, MongoDB for high-volume message storage. Secured all endpoints with JWT-based authentication and authorization middleware. Architected the system for seamless upgrade to WebSocket real-time messaging with minimal refactoring.
Cultural Fit Analysis
The candidate's diverse project portfolio (AI Q&A, Ride-Hailing, Real-Time Chat) showcases adaptability and a broad interest in different problem domains. The experience in a full-stack role at Techidata Solutions, including contributing to a microservices migration, indicates a proactive and growth-oriented mindset. The blend of personal projects and professional experience suggests a strong passion for technology and continuous learning, which aligns well with innovative and dynamic team cultures.
Soft Skills & Operational Fit
The candidate's resume highlights participation in code reviews, debugging sessions, and agile sprint planning, indicating good operational fit. Organizing and hosting a tech competition and achieving 1st place in a sports event suggest leadership, teamwork, and initiative. The project descriptions are clear and detailed, reflecting strong communication skills.