MUHAMMAD SALMAN
SOFTWARE ENGINEER
Full-Stack Software Engineer specializing in the MERN stack and Next.js, with a strong passion for Artificial Intelligence and Machine Learning. I bridge data science and web development by building and deploying end-to-end intelligent applications—from responsive UIs to robust Python FastAPI backends and predictive models. Constantly exploring modern AI/ML, I handle full-stack architectures and cloud deployments on Vercel and Render to turn complex data into high-performance solutions.
Education
Matric
Lahore Grammar School
Grade: A+
FSc (Pre Engineering)
Punjab Group Of Collges
BSc Software Engineering
Comsats University Islamabad Lahore Campus
Work Experience
FreeLance
Ahad Bearings
Designed and developed a modern, high-performance B2B platform using Next.js, React, and Tailwind CSS to effectively showcase industrial components and replace an outdated web presence.
Internship
Nexusberry
Developed and maintained dynamic, full-stack web applications utilizing React, Next.js, and Payload CMS, ensuring seamless integration between responsive front-end interfaces and backend PostgreSQL databases.
Technical Skills
Projects
The Freelance Gig Forecaster
Engineered an AI-driven full-stack web application predicting freelance gig success rates with 86.9% accuracy, utilizing a FastAPI/Gradient Boosting backend and a React 19 frontend.
E-Commerce Churn Predictor
Developed a full-stack machine learning application using Next.js, Python (FastAPI), and Scikit-Learn to predict e-commerce customer churn, deploying a decoupled microservices architecture across Vercel and Render for real-time data inference.
Professional B2B Supplier Website
Engineered a fully responsive, full-stack industrial supplier website utilizing the MERN stack and Tailwind CSS to optimize product discoverability and streamline user experience.