I’m Abdullah Sajid, a MERN stack developer proficient in React 18, Next.js, Node.js 20, and TypeScript. I have strong experience building scalable full-stack applications using modern JavaScript and RESTful APIs, with a focus on authentication (JWT, OAuth) and secure data handling. I enjoy turning complex problems into clean, maintainable code and delivering reliable solutions for international clients.
I design responsive, accessible UIs with Tailwind CSS and Chakra UI, and I champion a modular, reusable component architecture. I’m comfortable with MongoDB and Mongoose ODM, writing optimized queries for performance. I collaborate effectively in Agile/Scrum teams, maintain clean code and solid API documentation, and I deploy on Vercel, Render, and Heroku, keeping a strong emphasis on CI/CD and cloud best practices.
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TradeLayer is a high‑performance, plug‑and‑play trading engine and platform designed for leveraging BTC/USDT markets with customizable leverage and challenge‑based experiences. Built to support fast integrations via REST and WebSocket APIs, TradeLayer provides a full suite of tools — including an admin dashboard, real‑time order matching, configurable risk controls, and engagement features such as leaderboards and rewards. Its solution is ideal for fintech projects, demo and challenge trading platforms, or organizations seeking a white‑label trading infrastructure that delivers scalability, low‑latency execution, and enterprise security. The platform offers modular pricing tiers tailored to different business sizes and use cases, making it a versatile choice for launching branded trading products.
Developed a pixel-perfect, responsive front-end replica of Apple’s iPhone product pages. This project showcases expertise in modern web development, including HTML, CSS, JavaScript/React, and responsive UI design, delivering a seamless user experience that mirrors Apple’s clean and minimalistic aesthetic. Ideal for demonstrating capability in building high-quality landing pages and product showcases for professional web projects.
PrepForge is a modern AI‑driven interview preparation platform designed to help job seekers practice and refine their interview skills. With a secure sign‑in system, users can create personalized profiles to access tailored mock interviews, receive real‑time feedback, and build confidence ahead of real interview scenarios. The platform leverages advanced artificial intelligence to generate relevant interview questions and simulate realistic practice sessions, enabling professionals and graduates alike to improve their performance and readiness for job opportunities across industries.
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