Hello, I'm Muhammad Ahmad

Associate Software Engineer | MERN Stack | Full Stack Developer

View My Work

About Me

Passionate and eager Computer Science student with a strong interest in Full Stack development using JavaScript and Python Frameworks. Familiar with Next.js, MERN Stack, Flask and RESTful APIs. Enthusiastic about learning new technologies, problem-solving, and gaining hands-on experience in the field.

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Education

GOVT. COLLEGE UNIVERSITY, LHR

Bachelor's (Hons) in Computer Science

Lahore, Pakistan | 2021 – 25
  • Core courses: Data Structures & Algorithms, OOP, Database Systems, Operating Systems, Computer Networks, Software Engineering, Artificial Intelligence, Web Development, and Machine Learning.
  • Projects: Developed full-stack web applications, machine learning models, and participated in hackathons.
  • Active member of university tech societies and coding clubs.
  • Consistently achieved top grades in programming and software engineering courses.
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Certifications

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The Complete 2024 Web Development Bootcamp (Udemy)

Completed: December 27, 2024 – 61.5 hrs. total
  • Covered full-stack web development using HTML, CSS, JavaScript, Node.js, Express.js, MongoDB, and React.js.
  • Built multiple real-world projects including RESTful APIs and full-stack web apps.
  • Gained practical experience in both front-end and back-end development, version control (Git), and deployment.

Projects

Travel Planner App

Travel Planner App

12/2022 – 02/2023
Stack: MERN (MongoDB, Express.js, React.js, Node.js)

Built a full-stack travel planner allowing users to create, edit, and delete personalized travel plans.

  • Features: destination selection, budget estimates, travel duration, user authentication (JWT), interactive UI, real-time cost estimation.
  • Backend handles dynamic data storage and retrieval; React frontend communicates via RESTful APIs.
Student Performance Classifier

Student Performance Classifier

03/2025 – 04/2025
Stack: Next.js, FastAPI, scikit-learn

Developed a web app that predicts student academic performance with 85% accuracy using ML algorithms.

  • Implemented a Random Forest Classifier model trained on UCI student dataset, using features like study time, attendance, and family support.
  • Created a RESTful API backend with FastAPI, including input validation, error handling, and CORS support.
  • Engineered a scalable ML pipeline: data preprocessing, feature engineering, and model evaluation metrics.

Technical Skills

Programming Concepts

DSA
OOP
ER Modeling
SDLC
Agile

Front-End

HTML5
CSS3
JavaScript
React.js
Next.js
TypeScript TypeScript

Back-End

Node.js
Express.js
RESTful APIs
Python
Flask
Firebase

Databases

PostgreSQL
SQL Developer
MongoDB

Version Control

Git
GitHub
Postman

Contact