Sumit Kumar
I Build Websites That Bring You Customers
New to Contra
Sumit is ready for their next project!
🌐 DevNest Studio – High-Converting Business Website for Service Brands
I designed and developed DevNest Studio, a modern, conversion-focused website tailored for service-based businesses looking to establish a strong digital presence and generate consistent leads.
This project was built with a clear objective: turn visitors into paying clients through strategic design, fast performance, and user-centric structure—aligned with expectations of North American markets.
💼 What This Project Solves:
Low conversion from website traffic
Poor mobile experience affecting leads
Lack of trust and clarity in service presentation
Slow-loading pages impacting SEO and retention
⚙️ Key Features:
Mobile-first, fully responsive design (optimized for all screen sizes)
Clean, professional UI aligned with global design standards
Strategic call-to-actions to improve lead conversion
Fast-loading, performance-optimized pages
SEO-ready structure for better visibility
Integrated contact system for client inquiries
🛠 Tech Stack:
HTML, CSS, JavaScript
(Can be extended to React / MERN for scalability)
📈 Results & Value:
Built to improve lead generation and user engagement
Structured to support business credibility and trust-building
Designed with scalability in mind for future growth
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📁 TinyFiles – Smart File Compression & Optimization Tool
TinyFiles is a lightweight web application designed to efficiently compress and optimize images and documents without compromising quality. Built for everyday users and small businesses, it helps reduce file sizes for faster uploads, storage efficiency, and platform-specific requirements.
The app features a clean, user-friendly interface with real-time compression, instant previews, and support for multiple file formats. It is optimized for performance and ensures secure handling of user files.
This project highlights skills in frontend optimization, file processing, and building practical utility tools with a focus on user experience.
🛠️ Tech Stack
Frontend
React (Vite)
Plain CSS
Axios
React Router
React Toastify
Backend
Node.js
Express.js
MongoDB (Atlas)
Mongoose
JWT Authentication
Multer (memory storage)
Sharp (image processing)
PDF-Lib (PDF operations)
✨ Features
🔐 Authentication
User registration & login
JWT-based authentication
Secure protected routes
Guest access for basic features
🖼️ Image Tools
Resize images by width & height
Crop images using GUI (react-easy-crop)
Change image format (JPG / PNG / WEBP)
Adjust image quality using slider
Resize image to a target file size (KB)
Direct image download after processing
📄 PDF Tools
Merge multiple PDF files into one
Compress PDF files
Secure in-memory file handling (cloud safe)
📊 Dashboard
History of user operations (logged-in users)
Tracks original vs processed file size
Operation type tracking
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Booknest – Simplifying Book Trade Online
Booknest is a full-stack e-commerce web application designed to streamline the process of buying and selling books online. Built using the MERN stack (MongoDB, Express.js, React.js, Node.js), the platform delivers a seamless and responsive user experience for both customers and administrators.
The application allows users to browse a wide collection of books, register/login securely, and purchase books with an intuitive add-to-cart and checkout system. On the admin side, it provides powerful controls to manage inventory, add or update book listings, and monitor orders efficiently.
Key features include user authentication, dynamic product listings, cart management, and a fully functional admin dashboard. The platform is optimized for performance and scalability, ensuring smooth navigation and fast load times across devices.
This project demonstrates strong full-stack development skills, including RESTful API integration, state management, database handling, and responsive UI design.
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Jarvis AI – Locally Deployed Intelligent Chatbot System
Jarvis AI is a locally hosted AI chatbot engineered to deliver low-latency, privacy-first conversational capabilities without dependency on external cloud services. The system is designed using a modular architecture that integrates a frontend interface with a locally running backend for handling inference and request processing.
The chatbot leverages Natural Language Processing (NLP) techniques to interpret user input and generate context-aware responses. It supports multi-purpose interactions, including code assistance, content generation, and general query handling. The backend is optimized for efficient prompt handling and response generation, ensuring minimal latency in a local environment.
Key technical components include:
Local inference setup for AI model interaction
RESTful API layer for communication between frontend and backend
Stateful conversation handling for maintaining context
Lightweight and responsive UI for real-time interaction
Secure, offline-first architecture ensuring complete data privacy
The project demonstrates expertise in AI integration, backend API design, local deployment strategies, and building scalable, privacy-centric applications.
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