I'm a Full Stack Web Developer with 3 years of experience building scalable, API-driven applications using the MERN & PERN stacks. I excel at delivering clean, maintainable code and am proficient in React, Next.js, Node.js, MongoDB, PostgreSQL, and secure authentication methods like JWT, OAuth, and gesture-based 2FA. I've worked on projects across SaaS, e-commerce, and AI-powered platforms, focusing on performance optimization, reusability, and secure integrations. Based in Lahore, Pakistan, I enjoy collaborating with cross-functional teams to ship reliable software that solves real-world problems.

Muhammad Ibrahim Mufti

I'm a Full Stack Web Developer with 3 years of experience building scalable, API-driven applications using the MERN & PERN stacks. I excel at delivering clean, maintainable code and am proficient in React, Next.js, Node.js, MongoDB, PostgreSQL, and secure authentication methods like JWT, OAuth, and gesture-based 2FA. I've worked on projects across SaaS, e-commerce, and AI-powered platforms, focusing on performance optimization, reusability, and secure integrations. Based in Lahore, Pakistan, I enjoy collaborating with cross-functional teams to ship reliable software that solves real-world problems.

Available to hire

I’m a Full Stack Web Developer with 3 years of experience building scalable, API-driven applications using the MERN & PERN stacks. I excel at delivering clean, maintainable code and am proficient in React, Next.js, Node.js, MongoDB, PostgreSQL, and secure authentication methods like JWT, OAuth, and gesture-based 2FA.

I’ve worked on projects across SaaS, e-commerce, and AI-powered platforms, focusing on performance optimization, reusability, and secure integrations. Based in Lahore, Pakistan, I enjoy collaborating with cross-functional teams to ship reliable software that solves real-world problems.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Advanced
Urdu
Fluent

Work Experience

Full Stack Developer at Parallelloop.io
August 1, 2025 - Present
Leading development of Project KNG PERN Stack, a wholesale e-commerce ecosystem with a customer-facing website, backend for supplier/customer flows, rate management, and order processing. Built Admin Dashboard for managing users, suppliers, customers, and product lifecycles; Jobs Service for supplier sheet ingestion, recalculating prices, and syncing updated rates to the website. Implemented automated supply chain workflows and large-scale DB operations with PostgreSQL; designed modular APIs and caching strategies to ensure scalability.
FullStack Web Developer at Orbilon Technologies
June 1, 2024 - July 1, 2025
Built a React + Tailwind-based e-learning platform with progress tracking; developed BuySpy, an eBay-powered tracker with multi-filtering and live updates; designed Scribia, a Next.js & MongoDB SaaS for video summarization and gesture login, integrating Flask microservices.
FullStack Web Developer Intern at SoftAims
July 1, 2023 - April 1, 2024
Developed a responsive recipe app with dynamic ingredient lists and timers; implemented an MERN-based e-commerce project with cart and checkout flows; migrated projects from Vue.js to React and contributed to a shared component library in Agile sprints.

Education

Bachelor of Science in Computer Science at The University of Lahore
October 1, 2021 - June 1, 2025
Intermediate in CS at Govt College of Science
January 1, 2019 - January 1, 2021

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Retail, Wholesale & Distribution
    paper BuySpy

    BuySpy is an eBay-powered product tracking and management platform built with React, Tailwind, and TypeScript. It enables real-time tracking of products, sellers, and auctions.

    Key Features

    • Real-time product and auction tracking
    • Multi-filter search system
    • Seller management with JWT authentication
    • Paginated queries for performance optimization
    • Reusable React components and custom hooks

    Technical Highlights

    BuySpy integrates with eBay APIs to fetch live auction data. The application is optimized using React.memo, structured TypeScript interfaces, and efficient state management to ensure smooth and fast user experience.

    paper Project KNG

    Overview

    Project KNG is a wholesale e-commerce ecosystem built using the PERN stack (PostgreSQL, Express, React, Node.js, Next.js). It supports complex supplier and customer workflows with automated pricing and supply chain logic.

    Key Features

    • Customer-facing wholesale website
    • Supplier and customer management backend
    • Admin dashboard for full system control
    • Jobs service for supplier rate sheet ingestion
    • Automated price recalculation and syncing
    • Optimized PostgreSQL queries and caching strategies

    Technical Highlights

    The platform uses modular APIs, scalable database design, and large-scale data operations. It ensures high performance and maintainability for enterprise-level wholesale commerce.

    paper ColdCraft

    ColdCraft

    Overview

    ColdCraft is a smart cold outreach and email automation platform built using the MERN stack. It helps businesses manage campaigns, leads, and personalized email workflows efficiently and securely.

    Key Features

    • Campaign builder with dynamic placeholders like {{name}}, {{company}}, {{role}}
    • Lead management system with filtering and organization
    • Google OAuth integration
    • Gmail API email sending
    • Agenda-based scheduler with retry and resume support
    • Cookie-based encrypted authentication

    Technical Highlights

    ColdCraft uses modular React components, MongoDB indexing, and secure token handling. It is built for scalability, reliability, and performance-focused outreach automation.

    paper Scribia - Your Ai powered Video Summarizer

    Overview

    Scribia is an AI-powered SaaS platform designed to simplify research, learning, and development workflows. It enables users to summarize YouTube videos, convert code between programming languages, and secure their accounts using advanced authentication mechanisms. The platform is built using Next.js, MongoDB, and Flask microservices.

    Key Features

    • YouTube video summarization with automatic transcript extraction
    • Code conversion between multiple programming languages
    • Gesture-based two-factor authentication
    • JWT-based authentication with AES-256 encryption
    • Modular microservice architecture

    Technical Highlights

    Scribia separates frontend and backend responsibilities using clean API design and microservices. The system is scalable, secure, and optimized for performance. It is designed to support future AI integrations and advanced research tools.