Gunjan Mohod
Full Stack Developer | React | Node.js | Deep Learning Researcher
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About
Computer Science graduate and Full Stack Developer with 6 months of internship experience delivering production-grade web applications using React, TypeScript, Node.js, and PostgreSQL. Published IEEE peer-reviewed researcher in deep learning and computer vision with expertise in OpenCV, CNNs, and image processing. AWS India Hackathon Top 100 (top 2% of 5,000+ participants). Proficient in RESTful API design, Razorpay payment integration, Docker containerization, and JWT/OAuth2 security.
Experience
Full Stack Developer Intern at Raymond Lifestyle Ltd. (2025-12 – 2026-03)
- Developed and deployed a production-ready e-commerce platform (React 18, Node.js, Express.js, PostgreSQL) with real-time inventory tracking, 20+ products, a 5-chart analytics dashboard, and 12 RESTful API endpoints.
- Integrated 3 Razorpay payment methods (UPI, cards, net banking) with webhook-based order verification; secured platform with JWT, OAuth2, Helmet.js, bcrypt, and role-based access control (RBAC) for 2 user roles.
- Shipped 4 production features (RAG AI chat widget, wishlist, reviews, order tracking), achieving 35% increase in user engagement; automated CI/CD with Docker Compose, cutting release cycle time by 50%.
- Conducted structured code reviews via GitHub Pull Requests and maintained Git branching strategy across the full development lifecycle.
Frontend Developer Intern at Machdeal India Pvt. Ltd. (2024-06 – 2024-08)
- Built a mobile-first, fully responsive Next.js frontend for a water technology firm, attracting 50+ unique monthly visitors across 10+ device screen sizes.
- Reduced page load time by 30% via lazy loading, image compression, and code minification; improved Core Web Vitals scores and organic SEO ranking.
Education
Bachelor of Technology (B.Tech) in Computer Science and Engineering – S. B. Jain Institute of Technology, Management and Research (2022-08 – 2026-06)


