// available for internships & roles

Muhammad Mubashir.

Software Engineering Student & MERN Stack Developer

mubashir@portfolio:~

mubashir@portfolio:~$ whoami

Software Engineering student @ Lahore Garrison University

MERN stack developer — Node.js, React, MongoDB, Express

Building REST APIs, auth systems & full-stack apps

mubashir@portfolio:~$

01 // about

Who I Am

I'm a Software Engineering student at Lahore Garrison University with hands-on experience in MERN stack development through my role as a Software Engineer at XYZ.

I enjoy building full-stack applications — REST APIs, authentication systems, real-time features, and responsive UIs. I care about writing clean, maintainable code and understanding how things work under the hood.

When I'm not coding, I'm grinding DSA on LeetCode, exploring system design concepts, or contributing to coding clubs at university.

// currently focused on

  • Backend engineering & scalable APIs
  • React ecosystem (Hooks, Context, Redux)
  • Databases — MongoDB & PostgreSQL
  • System design fundamentals
  • DSA & problem solving

Education

Degree Institution Duration CGPA
BS Software Engineering Lahore Garrison University Mar 2024 – Present 3.5 / 4.0
Intermediate (Pre-Medical) Board of Intermediate Education 2022 – 2023 85%
Matric (Biology) FBISE 2019 – 2021 86%
02 // skills

Tech Stack

Languages

JavaScript (ES6+) TypeScript C++ Python

Frontend

React HTML5 CSS3 Tailwind CSS Bootstrap

Backend

Node.js Express.js REST APIs JWT Auth Socket.IO NodeMailer

Databases & Tools

MongoDB PostgreSQL Git Docker Vercel
03 // projects

Things I've Built

🔐

Authentication System

JWT-based auth with refresh tokens, bcrypt password hashing, and httpOnly cookies to prevent XSS attacks. Production-ready implementation.

Node.js Express JWT MongoDB bcrypt
🏠

Zameen360

Modern real estate frontend focused on responsive UI, clean layouts, and property listing experience. Fully responsive across all screen sizes.

HTML5 CSS3 JavaScript

Iris ML Classifier

Machine learning classification project using the Iris dataset. Implemented and compared multiple classifiers with Python, scikit-learn, and Jupyter Notebook.

Python scikit-learn Jupyter
04 // contact

Get In Touch

mubashir@portfolio:~

mubashir@portfolio:~$ initiate_connection


email mmubashirr.dev@gmail.com

github github.com/mmubashirdev

linkedin linkedin.com/in/muhammadmubashirr


// open to internship and full-stack roles

Send a Message