Full-Stack Developer building AI-powered products with MERN, Docker, AWS, and Kafka | 500+ DSA problems solved.

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Aditya Tiwari  • Peerlist

Successfully engineered a production-ready messaging platform that combines real-time communication with artificial intelligence. The application demonstrates advanced full-stack development capabilities and modern web technologies. 🎯 Key Achievements: Built real-time messaging system handling instant message delivery Integrated AI assistant using Groq API for intelligent conversations Implemented responsive design ensuring optimal experience across all devices Deployed full-stack application with proper CI/CD pipeline Achieved sub-second message delivery latency 🛠 Technical Implementation: Frontend: React.js with Tailwind CSS for responsive design Backend: Node.js/Express with Socket.io for real-time features Database: MongoDB for efficient data management AI: Groq API integration for natural language processing Storage: Cloudinary for secure image handling Project Links: Live Application: https://adichat-alpha.vercel.app/ GitHub Repository: https://github.com/Aditya7015/AdiChat-Project #FullStackDevelopment #RealTimeTechnology #AIIntegration #WebSockets #MongoDB #ReactDevelopment

AdiChat - Real-Time Messaging Platform

A complete MERN stack e-commerce solution with modern features and production-ready architecture. Key Features: Product catalog with search & filters Shopping cart & wishlist management Secure checkout & payment processing Admin dashboard for product/order management AI chatbot for customer support Responsive mobile-first design Tech Stack: React, Node.js, MongoDB, Express, Redux, Tailwind CSS, JWT, Stripe Live Demo: https://adi-shop-nine.vercel.app/ GitHub: https://github.com/Aditya7015/AdiShop Built with secure authentication, real-time inventory management, and scalable architecture. Demonstrates full-stack development expertise from UI/UX to deployment.

AdiShop - Full-Stack E-Commerce Platform

Developed a responsive personal portfolio website to highlight my projects, skills, and resume. Designed with a modern UI using React and Tailwind CSS, ensuring a professional and user-friendly experience. Integrated GitHub links, LinkedIn profile, and a contact form for direct communication. Deployed on Vercel for fast and reliable hosting. Tech Stack: React.js, Tailwind CSS, Vercel Features: ✔ Fully responsive design ✔ Projects showcase with live demos & GitHub links ✔ Resume download option ✔ Contact form for easy communication

Portfolio Website – MERN & Modern UI

Live Demo: https://quickstay-omega-brown.vercel.app/ GitHub: https://github.com/Aditya7015/hotel-booking Description: QuickStay is a fully functional hotel booking platform built using the MERN stack. It provides users with a seamless experience to search, book, and manage hotel stays, while incorporating secure authentication, payment integration, and automated email confirmations. Key Features: 🔒 Secure login/signup with Clerk 🗄️ Backend built using Node.js, Express, and MongoDB 💳 Stripe integration for secure payments 📧 Transactional email service via Brevo (booking confirmations) 🎨 Modern and responsive UI with React and Tailwind CSS ☁️ Deployed on Vercel for fast and reliable performance What I Learned: Developed skills in full-stack web app development Gained experience integrating third-party services (auth, payments, emails) Improved API design, database modeling, and deployment pipelines Built and deployed a scalable, production-ready application

🏨 QuickStay — Full-Stack Hotel Booking Platf

🚀 Industry Client Project | Full-Stack Product Delivery (MERN) snovy5 is an industry-level client project delivered as part of my role at WeBuiltu, focused on building and deploying a production-ready full-stack web application aligned with real-world business requirements. The project was developed following structured workflows, emphasizing scalability, clean architecture, and production stability. Collaboration with Aman Agrahari contributed to smooth coordination and timely delivery throughout the project lifecycle. 🌐 Live Product: https://snovy5.com/ 🔗 Demo: https://snovy5.vercel.app/ 📦 Codebase: https://lnkd.in/gyee64WC 🔧 Tech Stack & Responsibilities Frontend: React.js Backend: Node.js & Express.js Database: MongoDB APIs: RESTful API design & integration Deployment: Vercel (Frontend) & Render (Backend) 💼 Key Contributions & Learnings ✔ Translating business requirements into scalable technical solutions ✔ End-to-end ownership from development to live deployment ✔ Handling production-level debugging and stability ✔ Delivering within real client timelines and constraints This project reflects hands-on experience with industry-grade development standards and real-world product delivery.

Snvoy5- Full Stack Ecommerce Platform

Built TalentIQ-AI, an end-to-end AI-driven ATS & resume intelligence platform designed to improve hiring efficiency and candidate screening using automation and AI. Key Contributions & Features: • Designed and developed a full-stack MERN application with scalable architecture • Implemented an AI Resume Builder for creating ATS-optimized resumes • Built AI resume parsing & scoring system to evaluate candidate–job relevance • Integrated an AI chatbot for real-time guidance to users and recruiters • Developed automated email services for notifications and workflows • Deployed using serverless cloud architecture for scalability and cost efficiency • Implemented secure authentication, API design, and role-based access Tech Stack: React.js, Node.js, Express.js, MongoDB, AI / NLP, REST APIs, Serverless Functions, JWT, AWS (learning), Vercel, Git/GitHub Links: 🌐 Live App: https://talentiq-ai.vercel.app/ 💻 Backend: https://github.com/Aditya7015/talentiq-ai-backend 💻 Frontend: https://github.com/Aditya7015/ai-ats-frontend Impact: • Reduced manual resume screening effort through AI-based scoring • Built a production-ready SaaS platform with real-world hiring use cases